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DBMS > EventStoreDB vs. Tarantool vs. Typesense vs. YottaDB

System Properties Comparison EventStoreDB vs. Tarantool vs. Typesense vs. YottaDB

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonTarantool  Xexclude from comparisonTypesense  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.In-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivityA fast and solid embedded Key-value store
Primary database modelEvent StoreDocument store
Key-value store
Relational DBMS
Search engineKey-value store
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extensionRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.eventstore.comwww.tarantool.iotypesense.orgyottadb.com
Technical documentationdevelopers.eventstore.comwww.tarantool.io/­en/­doctypesense.org/­docsyottadb.com/­resources/­documentation
DeveloperEvent Store LimitedVKYottaDB, LLC
Initial release2012200820152001
Current release21.2, February 20212.10.0, May 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoGPL V3Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++C
Server operating systemsLinux
Windows
BSD
Linux
macOS
LinuxDocker
Linux
Data schemeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsschema-free infopre-defined schema optionalschema-free
Typing infopredefined data types such as float or datestring, double, decimal, uuid, integer, blob, boolean, datetimeyesno
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLFull-featured ANSI SQL supportnoby using the Octo plugin
APIs and other access methodsOpen binary protocolRESTful HTTP APIPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresLua, C and SQL stored proceduresno
Triggersyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Multi-source replication using RAFTyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, cooperative multitaskingyes
Durability infoSupport for making data persistentyes, write ahead loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, full featured in-memory storage engine with persistenceyesyes
User concepts infoAccess controlAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Users and groups based on OS-security mechanisms

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More resources
EventStoreDBTarantoolTypesenseYottaDB
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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