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DBMS > Datomic vs. EventStoreDB vs. Ignite vs. Vitess

System Properties Comparison Datomic vs. EventStoreDB vs. Ignite vs. Vitess

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEventStoreDB  Xexclude from comparisonIgnite  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityIndustrial-strength, open-source database solution built from the ground up for event sourcing.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSEvent StoreKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.datomic.comwww.eventstore.comignite.apache.orgvitess.io
Technical documentationdocs.datomic.comdevelopers.eventstore.comapacheignite.readme.io/­docsvitess.io/­docs
DeveloperCognitectEvent Store LimitedApache Software FoundationThe Linux Foundation, PlanetScale
Initial release2012201220152013
Current release1.0.6735, June 202321.2, February 2021Apache Ignite 2.615.0.2, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++, Java, .NetGo
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesClojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes (compute grid and cache interceptors can be used instead)yes infoproprietary syntax
TriggersBy using transaction functionsyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsUsers with fine-grained authorization concept infono user groups or roles

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More resources
DatomicEventStoreDBIgniteVitess
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