Apache HBase vs. SQLite

HBase is well suited for streaming ingest, fast lookups, massive datasets, data warehouse lookup tables, RDBMS replacement, MongoDB replacement, key-value store, data scans, logs, JSON storage and some binary storage. My preferred use case is for storing data points like time series or data produced by sensors. I often use HBase when I need data available immediately and I am not looking for transactions. This is a great store for really wide tables with tons of columns. It is also great if you are not sure what type of data you are going to have. It really excels at sparse data.

Incentivized

The portability and ease of use has us doing local development, and then shipping the database to production for implementation. This compact deliverable object is great. Until multiple developers need to access it at a time. It is a caveat, but we create a database per integration as it is easier to manage. Using a SQLite database to manage more than one integration or task is not something we would recommend.

Incentivized

• Scalable and truly non-relational data
• HBase operations run in real-time on its database rather than MapReduce jobs
• Scales linearly to support billions of rows with millions of columns

Incentivized

• Our products are using SQLite in embedded Linux and in Windows software.
• It is truly a stable cross-platform database.
• The fact that it is a zero-configuration database engine, it is particularly a nice advantage when you work in the embedded world.
• Being a single database file, it provides ease for those who need to quickly transfer data to someone else, or quickly browse data.

Incentivized

• Write performance
• Performance support for parquet file format. supports, but performance wise still not there
• API / library availability for spark, rather than creating a new library for it

Incentivized

• Although it is excellent at what it does, you should be really careful and plan accordingly if you know that your database is going to scale at a huge level because it is not suitable of databases which are of Enterprise level and demands top-notch security and protection.
• If your project involves multiple people working on the same database simultaneously, then that becomes a big problem, because it only allows single write at one time. You really need to be forward thinking in a manner to predict if this database will cater to all the needs of your project.
• The most common difficulty with this is the lack of some of the basic functionality which is present in the other premier databases like Joints, Stored Procedure calls, Security and permission grants. If you do require all those things then you are better off not using this software.
• Lastly, if you are using this in an Andriod App development cycle then also your options are limited because it does not integrate with PostgreSQL and MYSQL.

Incentivized

There's really not anything else out there that I've seen comparable for my use cases. HBase has never proven me wrong. Some companies align their whole business on HBase and are moving all of their infrastructure from other database engines to HBase. It's also open source and has a very collaborative community.

Incentivized

I have had a wonderful experience with SQLite because in my every project I use SQLite in the development phase because it's really fast, doesn't crash and very easy to maintain as well. It saves a lot on physical memory and dedicated server usage. It has all the basic functionality you would need to get the job done and that too at no cost at all. What more could you ask for !!!

Incentivized

I haven't needed support yet.

Incentivized

Compared NoSQL databases with traditional databases for faster retrieval and consistency. As MongoDB is a NoSQL supports dynamic fields, however, query performance is bad for aggregations and added maintenance. When compared with MySQL and Teradata, it could not scale up as fast as Hbase and added cost involved to it. HBase can be easily scalable to a huge volume of records, have a faster lookup and provides consistency

Incentivized

SQLite has CRUD queries and manipulates external files. Cross-platform support includes iOS, Android, Mac OS X, and Windows. Compared to other databases, it is fast and straightforward to implement. Even if an application crashes, there is no effect on the database or the data it contains. The user interface is best for input and output. It's best for developing skills and project deliverables.

Incentivized

• Positive: Open source, easy to use, good to store big data.
• Negative: SQL functionalities are not available.
• More memory utilization
• More troubleshooting

Incentivized

• No licensing fees has a net increase on ROI
• The active community has kept support costs low, further increasing ROI
• The wide range of supported platforms and high level of compatibility has increased ROI by reducing time spent porting the database model to any platform specific solutions.

Incentivized