DBMS > Cachelot.io vs. EventStoreDB vs. Google Cloud Bigtable vs. IBM Db2 Event Store

System Properties Comparison Cachelot.io vs. EventStoreDB vs. Google Cloud Bigtable vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
Name	Cachelot.io  Xexclude from comparison	EventStoreDB  Xexclude from comparison	Google Cloud Bigtable  Xexclude from comparison	IBM Db2 Event Store  Xexclude from comparison
Description	In-memory caching system	Industrial-strength, open-source database solution built from the ground up for event sourcing.	Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.	Distributed Event Store optimized for Internet of Things use cases
Primary database model	Key-value store	Event Store	Key-value store Wide column store	Event Store Time Series DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.04 Rank #388   Overall #62   Key-value stores	Score 1.19 Rank #173   Overall #1   Event Stores	Score 3.15 Rank #95   Overall #14   Key-value stores #8   Wide column stores	Score 0.27 Rank #309   Overall #2   Event Stores #28   Time Series DBMS
Website	cachelot.io	www.eventstore.com	cloud.google.com/­bigtable	www.ibm.com/­products/­db2-event-store
Technical documentation		developers.eventstore.com	cloud.google.com/­bigtable/­docs	www.ibm.com/­docs/­en/­db2-event-store
Developer		Event Store Limited	Google	IBM
Initial release	2015	2012	2015	2017
Current release		21.2, February 2021		2.0
License Commercial or Open Source	Open Source Simplified BSD License	Open Source	commercial	commercial free developer edition available
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C++			C and C++
Server operating systems	FreeBSD Linux OS X	Linux Windows	hosted	Linux Linux, macOS, Windows for the developer addition
Data scheme	schema-free		schema-free	yes
Typing predefined data types such as float or date	no		no	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	no
Secondary indexes	no		no	no
SQL Support of SQL	no		no	yes through the embedded Spark runtime
APIs and other access methods	Memcached protocol		gRPC (using protocol buffers) API HappyBase (Python library) HBase compatible API (Java)	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API
Supported programming languages	.Net C C++ ColdFusion Erlang Java Lisp Lua OCaml OCaml Perl PHP Python Ruby		C# C++ Go Java JavaScript (Node.js) Python	C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala Visual Basic
Server-side scripts Stored procedures	no		no	yes
Triggers	no		no	no
Partitioning methods Methods for storing different data on different nodes	none		Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	none		Internal replication in Colossus, and regional replication between two clusters in different zones	Active-active shard replication
MapReduce Offers an API for user-defined Map/Reduce methods	no		yes	no
Consistency concepts Methods to ensure consistency in a distributed system	none		Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)	Eventual Consistency
Foreign keys Referential integrity	no		no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no		Atomic single-row operations	no
Concurrency Support for concurrent manipulation of data	yes		yes	No - written data is immutable
Durability Support for making data persistent	no		yes	Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no		no	yes
User concepts Access control	no		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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More resources
	Cachelot.io	EventStoreDB	Google Cloud Bigtable	IBM Db2 Event Store
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