DBMS > Elasticsearch vs. IBM Db2 Event Store vs. OrigoDB
System Properties Comparison Elasticsearch vs. IBM Db2 Event Store vs. OrigoDB
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|Editorial information provided by DB-Engines|
|Name||Elasticsearch Xexclude from comparison||IBM Db2 Event Store Xexclude from comparison||OrigoDB Xexclude from comparison|
|Description||A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric||Distributed Event Store optimized for Internet of Things use cases||A fully ACID in-memory object graph database|
|Primary database model||Search engine||Event Store|
Time Series DBMS
Object oriented DBMS
|Secondary database models||Document store|
|Developer||Elastic||IBM||Robert Friberg et al|
|Initial release||2010||2017||2009 under the name LiveDB|
|Current release||8.6, January 2023||2.0|
|License Commercial or Open Source||Open Source Elastic License||commercial free developer edition available||Open Source|
|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||Java||C and C++||C#|
|Server operating systems||All OS with a Java VM||Linux Linux, macOS, Windows for the developer addition||Linux|
|Data scheme||schema-free Flexible type definitions. Once a type is defined, it is persistent||yes||yes|
|Typing predefined data types such as float or date||yes||yes||User defined using .NET types and collections|
|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||no can be achieved using .NET|
|Secondary indexes||yes All search fields are automatically indexed||no||yes|
|SQL Support of SQL||SQL-like query language||yes through the embedded Spark runtime||no|
|APIs and other access methods||Java API|
RESTful HTTP/JSON API
RESTful HTTP API
|.NET Client API|
|Supported programming languages||.Net|
Community Contributed Clients
|Server-side scripts Stored procedures||yes||yes||yes|
|Triggers||yes by using the 'percolation' feature||no||yes Domain Events|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding||horizontal partitioning client side managed; servers are not synchronized|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Active-active shard replication||Source-replica replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||ES-Hadoop Connector||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all||Eventual Consistency|
|Foreign keys Referential integrity||no||no||depending on model|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes||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 Write ahead log|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||Memcached and Redis integration||yes||yes|
|User concepts Access control||fine grained access rights according to SQL-standard||Role based authorization|
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|Elasticsearch||IBM Db2 Event Store||OrigoDB|
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