DBMS > EventStoreDB vs. Google Cloud Datastore vs. H2
System Properties Comparison EventStoreDB vs. Google Cloud Datastore vs. H2
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|Editorial information provided by DB-Engines|
|Name||EventStoreDB Xexclude from comparison||Google Cloud Datastore Xexclude from comparison||H2 Xexclude from comparison|
|Description||Industrial-strength, open-source database solution built from the ground up for event sourcing.||Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform||Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.|
|Primary database model||Event Store||Document store||Relational DBMS|
|Secondary database models||Spatial DBMS|
|Developer||Event Store Limited||Thomas Mueller|
|Current release||21.2, February 2021||2.1.210, January 2022|
|License Commercial or Open Source||Open Source||commercial||Open Source dual-licence (Mozilla public license, Eclipse public license)|
|Cloud-based only Only available as a cloud service||no||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
|hosted||All OS with a Java VM|
|Typing predefined data types such as float or date||yes, details here||yes|
|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|
|SQL Support of SQL||SQL-like query language (GQL)||yes|
|APIs and other access methods||gRPC (using protocol buffers) API|
RESTful HTTP/JSON API
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||using Google App Engine||Java Stored Procedures and User-Defined Functions|
|Triggers||Callbacks using the Google Apps Engine||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication using Paxos||With clustering: 2 database servers on different computers operate on identical copies of a database|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes using Google Cloud Dataflow||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency or Eventual Consistency depending on type of query and configuration Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.||Immediate Consistency|
|Foreign keys Referential integrity||yes via ReferenceProperties or Ancestor paths||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID Serializable Isolation within Transactions, Read Committed outside of Transactions||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes, multi-version concurrency control (MVCC)|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||fine grained access rights according to SQL-standard|
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|EventStoreDB||Google Cloud Datastore||H2|
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