DBMS > BigObject vs. IBM Db2 Event Store vs. jBASE
System Properties Comparison BigObject vs. IBM Db2 Event Store vs. jBASE
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|Editorial information provided by DB-Engines|
|Name||BigObject Xexclude from comparison||IBM Db2 Event Store Xexclude from comparison||jBASE Xexclude from comparison|
|Description||Analytic DBMS for real-time computations and queries||Distributed Event Store optimized for Internet of Things use cases||A robust multi-value DBMS comprising development tools and middleware|
|Primary database model||Relational DBMS a hierachical model (tree) can be imposed||Event Store|
Time Series DBMS
|Developer||BigObject, Inc.||IBM||Rocket Software (formerly Zumasys)|
|License Commercial or Open Source||commercial free community edition available||commercial free developer edition available||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C and C++|
|Server operating systems||Linux distributed as a docker-image|
OS X distributed as a docker-image (boot2docker)
Windows distributed as a docker-image (boot2docker)
|Linux Linux, macOS, Windows for the developer addition||AIX|
|Typing predefined data types such as float or date||yes||yes||optional|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no||yes|
|SQL Support of SQL||SQL-like DML and DDL statements||yes through the embedded Spark runtime||Embedded SQL for jBASE in BASIC|
|APIs and other access methods||fluentd|
RESTful HTTP API
RESTful HTTP API
RESTful HTTP API
|Supported programming languages||C|
|Server-side scripts Stored procedures||Lua||yes||yes|
|Partitioning methods Methods for storing different data on different nodes||none||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||none||Active-active shard replication||yes|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||none||Eventual Consistency|
|Foreign keys Referential integrity||yes automatically between fact table and dimension tables||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes Read/write lock on objects (tables, trees)||No - written data is immutable||yes|
|Durability Support for making data persistent||yes||Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes||yes|
|User concepts Access control||no||fine grained access rights according to SQL-standard||Access rights can be defined down to the item level|
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|BigObject||IBM Db2 Event Store||jBASE|
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