Welcome!

Java IoT Authors: Stackify Blog, Yeshim Deniz, Pat Romanski, Matt Lonstine, Glenda Sims

Related Topics: Java IoT, Industrial IoT, Microservices Expo, Eclipse, Machine Learning , Apache

Java IoT: Blog Post

Which Tool Will You Choose for Java: Hibernate, esProc, SQL, iBATIS or R?

Five Useful Computation Layers Solve Java’s Data Calculation

The data computation layer in between the data persistent layer and the application layer is responsible for computing the data from data persistence layer, and returning the result to the application layer. The data computation layer of Java aims to reduce the coupling between these two layers and shift the computational workload from them. The typical computation layer is characterized with below features:

  1. Ability to compute on the data from arbitrary data persistence layers, not only databases, but also the non-database Excel, Txt, or XML files. Of all these computations, the key is the computation on the commonest structured data.
  2. Ability to perform the interactive computations among various data sources uniformly, not only including the computation among different databases, but also calculation between the databases and non-database data sources.
  3. The couplings between database and computation layer, as well as the computation layer and Java code can be kept as low as possible to facilitate the migration.
  4. The architecture can be non-Java but should be integrated with Java conveniently.
  5. Higher development efficiency in the respects of scripting, readability, debugging, and daily maintenance
  6. As for the tendency of the complex computation and big data computation, the computation layer can provide the direct support to achieve the goal.

In this survey, 5 data computation layers of Hibernate, esProc, SQL, iBATIS, and R language are tested and compared on the basis of the below metrics: maturity, low coupling, scripting, integration, UI friendliness, performance, complex computation, support for big data, non-database computation, cross-database computation, and convenience for debugging.

Hibernate
Hibernate is the lightweight ORM frame, which was invented by Gavin King, and is now owned by JBOSS. It is the outstanding computational layer in the non-distributed environment, for example Intranet. Hibernate provides the access mode based on the object completely, while esProc and iBATIS can only be treated as the semi-object or object-alike ones.

Hibernate almost enables the complete uncoupling between computational scripts, Java code, and database completely. However, what's a pity is that Hibernate still heavily rely on SP/SQL in many respects due to its lack of computational capability.

Besides, the EJB JPA is one of the computation layer protocols. Since Hibernate is actually the JPA, we will not dwell on it here.

Maturity: 4 stars. With more than a decade of market testing, Hibernate is already well developed and mature.

Low coupling: 4 stars. Hibernate was introduced for this advantage. But the local SQL is still unavoidable, and Hibernate is hard to achieve the perfect migration.

Scripting: 2 stars. Hibernate computation modes include the object reference and HQL. The former one can get 5 stars since it is quite easy. The latter one gets 2 starts because it is more difficult than SQL to lean, extremely tough to debug, and less efficient than SQL. Its unavoidable reliance on SQL to handle some computations makes users face the great challenge to use these two languages in combination. Let's give it 2 stars and overall 3 stars on average.

Integration: 2 stars. Hibernate is built with the pure Java architecture. So, to integrate, just copy the jar package and several mapping files, and pay attention to use the session well. It is easy to start, but far more difficult when it comes to the mandatory Hibernate cache, which demands so extremely strong architectural design capabilities that the normal programmers are not encouraged to explore it. Needless to say, the inherited disadvantage of ORM does not exist in other computation layers.

UI friendliness: 0 star. Hibernate provides the object generator, but lacks the most important HQL graphic design interface. Almost no usable GUI is available.

Performance: 3 stars. Its support for L3 cache is less capable than that of SQL. But it is equivalent to 60% of SQL all-roundly according to my personal experience.

Complex computation: 0 star. No support is available for the complex computation, and you may need the SQL/external tools.

Support for big data: 1 star. No direct support is available for hadoop architecture, and relevant research has been carried out.

Non-database computation: 0 star. No direct support is available for non-database computation.

Cross-database computation: 0 star. No direct support is available for cross-database computation. Each HQL only supports a single database.

Convenience for debugging: 0 star. The awkwardness in debugging is a fatal drawback for programmers.

esProc:
esProc is a newly-emerged Java development tool, especially designed to solve the complex cross-database computations. Unlike other data computation layers, esProc only takes SQL as a data source. Once data is retrieved from SQL, the computation in esProc is completely independent from SQL. By comparison, PJA/Hibernate would be forced to open the interface for SQL to handle some computations they are unable to handle.

Maturity: 1 star. Only 1 year passes since its entering the marketplace. The breadth and depth of its application is worse than other data computation layer.

Low coupling: 4 stars. Its scripts are independent from databases and Java codes, and its algorithms have nothing to do with the concrete database, which can be concluded as the low coupling. Immigration to various databases can be implemented easily. Because the output interface is JDBC, immigration to reports can be achieved easily as well. This is an unmatched feature in comparison to other computation layers.

Scripting: 4 stars. It allows for scripting in grid, reference with cell name, direct verifying result at each step, and decomposing a complex goal to several simple steps. Its syntax focuses on object-reference but no object only. Unlike the descriptive style of SQL statements, the brand new experience requires some knowledge about esProc. Java programmers will have their own choices based on their own experiences.

Integration: 5 stars. A pure Java architecture is adopted by esProc. The JDBC interface is offered for easy integration by any database programmer without esProc background.

UI friendliness: 4 stars. Independent graphic editor is easy to use and intuitive. However, the helpdesk system is not friendly enough.

Performance: 2 stars. All computations are performed in memory. So, it is not recommended to handle too huge amount of data.

Complex computation: 5 stars. This is purpose to develop esProc.

Non-database computation: 3 stars. Support for Excel/Txt, but not XML or Web Service.

Support for big data: 4 stars. HDFS access is offered. Plus, it is said that the parallel computing is also supported, but the details in pending to reveal.

Cross-database computation: 5 stars. esProc syntax is independent from the specific database, and supports the cross-database computation by nature.

Convenience for debugging: 5 stars. The debugging function is perfect and quite convenient to use. Considering its supports for verifying the computation steps of the finest granularity, we can say no other computation layers can offer such convenience.

SQL
SQL/SP/JDBC is of one kind. They are old computation layers boasting the performance and flexibility. However, things change that SQL alone become hard to satisfy the need, such as the growing development of Java, data explosion, and emerging complex problems. Although there are not so many high scores SQL have achieved, the weights are generally the highest.

Maturity: 5 stars. The most mature one.

Low coupling: 0 star. High coupling! Except for lab use, it's nearly impossible for users to write the computational scripts independent from the databases and codes.

Scripting: 3 stars. SQL is actually very difficult to write and maintain, and cost users a great deal of time to learn. Fortunately, SQL is mature and well established. There are many forums with rich contents. Hibernate becomes popular because it addresses the need to solve the incapability between various data.

Integration: 5 stars. The first lesson of Java programmers is taught to connect the database through JDBC.

UI friendliness: 5 stars. Abundant SQL development tools with high maturity are available. I myself have tried more than 10 tools.

Performance: 5 stars. Databases support this language directly with the highest performance.

Complex computation: 3 stars. SQL is quite fit for the normal computation. The complex problems can be also solved with SQL but a very tough procedure is unavoidable, while Hibernate cannot cope with it at all. SP appears with no great improvement to the reality. The code is hard to split, mainly owing to the complex goal is hard to be decomposed into several simple steps.

Support for big data: 1 star. Several database vendors have declared their support for big data. This adds fuel to the incompatibility of SQL statements, and I've never seen a successful case yet.

Non-database computation: 1 star. No direct support is available. ETL/data warehouse can achieve the goal at great cost.

Cross-database computation: 1 star. Support several databases but the performance is poor. In addition, the middleware like DBLink and link server can barely support it to a degree far from "arbitrary and convenient".

Convenience for debugging: 1 star. It is quite hard for users to debug and check the intermediate results. Only after all scripts have been run can users to check the final result. The only solution is "programing with debugging" which is deliberately creating a great numbers of temporary tables instantly.

iBATIS:
The computation layer is powerful for its simpleness and agility. Unlike Hibernate, iBATIS encourages programmers to write SQL statements. So, its learning cost is the least. In addition, iBATIS has implemented the uncoupling between computational scripts and Java code at the least cost - 80% Hibernate functions at 20% costs. The pending unsolved 20% is the uncoupling between the computational scripts and database.

The complex computation environment is its weak points, for example, distributed computation, complex computation, non-database computation, and cross-database computation.

Maturity: 4 stars. iBATIS is a proven frame with decades of marketing test. It is my favorite frame, though it still has the drawback of insufficient support for cache.

Low coupling: 2 stars. SQL can be replaced seamlessly. However, it's still SQL for specific database. In facts, this latter one is the database-related problem. Since the vendor is determined to retain the customers, the incompatibililty of SQL ensures the inability to migrate. On the other side, the programmers always look for the freedom to migrate by whatsoever means.

Scripting: 3 stars. It is SQL.

Integration: 4 stars. Basically, it's not difficult. It takes the beginner half a day to grasp it well.

UI friendliness: 4 stars. No graphic design interface for computational procedure is available, but SQL tools can be used instead.

Performance: 3 stars. It's slightly less powerful than SQL, mainly because the conversion between resultSet and map/list is a bit more time-consuming. In addition, its support for cache is worse than that of Hibernate. By general comparison, their differences are not great. In my opinion, it is a failure to introduce the ORM along with the performance problem.

Complex computation: 3 stars. It's the same as SQL, and stronger than Hibernate.

Support for big data: 1 star. Same as SQL

Non-database computation: 1 star. Same as SQL

Cross-database computation: 1 star. Same as SQL

Convenience for debugging: 1 star. Same as SQL

R language
R is not easy to integrate with Java. However, it is worth to mention because of its powerful computational capability, wide support for communities and advantages in big data. Needless to say, it is the hardest to learn among all these computation layers.

Maturity: 5 stars. The long history of R is only shorter than that of SQL. R has been a hot topic in many forums, in particular in the age of big data.

Low coupling: 4 stars. R language makes no difference to that of esProc in this respect.

Scripting: 3 stars. In this respect, R is very similar to esProc. But esProc is more agile, more flexible in scripting, and more professional in supporting the structural data, while R has a great number of inbuilt model syntax. Let's call it even.

Integration: 1 star. R is not built with Java architecture, and hard to integrate with Java. Considering its comparably unsatisfactory performance, the performance would drop dramatically once integrated.

UI friendliness: 3 stars. A specific IDE interface is offered. However, it is not finely built, and suffers the low usability, which is common to all open source products.

Performance: 2 stars. Full memory computation makes it hard to handle large data volume.

Complex computation: 5 stars. It's similar to esProc.

Support for big data: 3 stars. There is a combination mechanism of using R together with Hadoop. But it is not easy to combine the non-Java system and Java-system, which also compromises the performance greatly.

Non-database computation: 5 stars. It's similar to esProc.

Cross-database computation: 5 stars. It's similar to esProc.

Convenience for debugging: 2 stars. The debugging is barely offered and is very unprofessional.

More Stories By Jessica Qiu

Jessica Qiu is the editor of Raqsoft. She provides press releases for data computation and data analytics.

@ThingsExpo Stories
DX World EXPO, LLC, a Lighthouse Point, Florida-based startup trade show producer and the creator of "DXWorldEXPO® - Digital Transformation Conference & Expo" has announced its executive management team. The team is headed by Levent Selamoglu, who has been named CEO. "Now is the time for a truly global DX event, to bring together the leading minds from the technology world in a conversation about Digital Transformation," he said in making the announcement.
"Space Monkey by Vivent Smart Home is a product that is a distributed cloud-based edge storage network. Vivent Smart Home, our parent company, is a smart home provider that places a lot of hard drives across homes in North America," explained JT Olds, Director of Engineering, and Brandon Crowfeather, Product Manager, at Vivint Smart Home, in this SYS-CON.tv interview at @ThingsExpo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events announced today that Conference Guru has been named “Media Sponsor” of the 22nd International Cloud Expo, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. A valuable conference experience generates new contacts, sales leads, potential strategic partners and potential investors; helps gather competitive intelligence and even provides inspiration for new products and services. Conference Guru works with conference organizers to pass great deals to gre...
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform. In his session at @ThingsExpo, Craig Sproule, CEO of Metavine, demonstrated how to move beyond today's coding paradigm and shared the must-have mindsets for removing complexity from the develop...
In his Opening Keynote at 21st Cloud Expo, John Considine, General Manager of IBM Cloud Infrastructure, led attendees through the exciting evolution of the cloud. He looked at this major disruption from the perspective of technology, business models, and what this means for enterprises of all sizes. John Considine is General Manager of Cloud Infrastructure Services at IBM. In that role he is responsible for leading IBM’s public cloud infrastructure including strategy, development, and offering m...
"Evatronix provides design services to companies that need to integrate the IoT technology in their products but they don't necessarily have the expertise, knowledge and design team to do so," explained Adam Morawiec, VP of Business Development at Evatronix, in this SYS-CON.tv interview at @ThingsExpo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
To get the most out of their data, successful companies are not focusing on queries and data lakes, they are actively integrating analytics into their operations with a data-first application development approach. Real-time adjustments to improve revenues, reduce costs, or mitigate risk rely on applications that minimize latency on a variety of data sources. In his session at @BigDataExpo, Jack Norris, Senior Vice President, Data and Applications at MapR Technologies, reviewed best practices to ...
Widespread fragmentation is stalling the growth of the IIoT and making it difficult for partners to work together. The number of software platforms, apps, hardware and connectivity standards is creating paralysis among businesses that are afraid of being locked into a solution. EdgeX Foundry is unifying the community around a common IoT edge framework and an ecosystem of interoperable components.
Large industrial manufacturing organizations are adopting the agile principles of cloud software companies. The industrial manufacturing development process has not scaled over time. Now that design CAD teams are geographically distributed, centralizing their work is key. With large multi-gigabyte projects, outdated tools have stifled industrial team agility, time-to-market milestones, and impacted P&L stakeholders.
"Akvelon is a software development company and we also provide consultancy services to folks who are looking to scale or accelerate their engineering roadmaps," explained Jeremiah Mothersell, Marketing Manager at Akvelon, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
"IBM is really all in on blockchain. We take a look at sort of the history of blockchain ledger technologies. It started out with bitcoin, Ethereum, and IBM evaluated these particular blockchain technologies and found they were anonymous and permissionless and that many companies were looking for permissioned blockchain," stated René Bostic, Technical VP of the IBM Cloud Unit in North America, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Conventi...
In his session at 21st Cloud Expo, Carl J. Levine, Senior Technical Evangelist for NS1, will objectively discuss how DNS is used to solve Digital Transformation challenges in large SaaS applications, CDNs, AdTech platforms, and other demanding use cases. Carl J. Levine is the Senior Technical Evangelist for NS1. A veteran of the Internet Infrastructure space, he has over a decade of experience with startups, networking protocols and Internet infrastructure, combined with the unique ability to it...
22nd International Cloud Expo, taking place June 5-7, 2018, at the Javits Center in New York City, NY, and co-located with the 1st DXWorld Expo will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud ...
"Cloud Academy is an enterprise training platform for the cloud, specifically public clouds. We offer guided learning experiences on AWS, Azure, Google Cloud and all the surrounding methodologies and technologies that you need to know and your teams need to know in order to leverage the full benefits of the cloud," explained Alex Brower, VP of Marketing at Cloud Academy, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clar...
Gemini is Yahoo’s native and search advertising platform. To ensure the quality of a complex distributed system that spans multiple products and components and across various desktop websites and mobile app and web experiences – both Yahoo owned and operated and third-party syndication (supply), with complex interaction with more than a billion users and numerous advertisers globally (demand) – it becomes imperative to automate a set of end-to-end tests 24x7 to detect bugs and regression. In th...
"MobiDev is a software development company and we do complex, custom software development for everybody from entrepreneurs to large enterprises," explained Alan Winters, U.S. Head of Business Development at MobiDev, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
Coca-Cola’s Google powered digital signage system lays the groundwork for a more valuable connection between Coke and its customers. Digital signs pair software with high-resolution displays so that a message can be changed instantly based on what the operator wants to communicate or sell. In their Day 3 Keynote at 21st Cloud Expo, Greg Chambers, Global Group Director, Digital Innovation, Coca-Cola, and Vidya Nagarajan, a Senior Product Manager at Google, discussed how from store operations and ...
"There's plenty of bandwidth out there but it's never in the right place. So what Cedexis does is uses data to work out the best pathways to get data from the origin to the person who wants to get it," explained Simon Jones, Evangelist and Head of Marketing at Cedexis, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events announced today that CrowdReviews.com has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5–7, 2018, at the Javits Center in New York City, NY. CrowdReviews.com is a transparent online platform for determining which products and services are the best based on the opinion of the crowd. The crowd consists of Internet users that have experienced products and services first-hand and have an interest in letting other potential buye...
SYS-CON Events announced today that Telecom Reseller has been named “Media Sponsor” of SYS-CON's 22nd International Cloud Expo, which will take place on June 5-7, 2018, at the Javits Center in New York, NY. Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms.