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DBMS > EventStoreDB vs. GreptimeDB vs. JSqlDb vs. Tarantool

System Properties Comparison EventStoreDB vs. GreptimeDB vs. JSqlDb vs. Tarantool

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonJSqlDb  Xexclude from comparisonTarantool  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.An open source Time Series DBMS built for increased scalability, high performance and efficiencyJavaScript Query Language Database, stores JavaScript objects and primitivesIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelEvent StoreTime Series DBMSDocument store
Object oriented DBMS
Document store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websitewww.eventstore.comgreptime.comjsqldb.org (offline)www.tarantool.io
Technical documentationdevelopers.eventstore.comdocs.greptime.comwww.tarantool.io/­en/­doc
DeveloperEvent Store LimitedGreptime Inc.Konrad von BackstromVK
Initial release2012202220182008
Current release21.2, February 20210.8, December 20182.10.0, May 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
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 languageRustC and C++
Server operating systemsLinux
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
Windows
BSD
Linux
macOS
Data schemeschema-free, schema definition possibleschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesnostring, double, decimal, uuid, integer, blob, boolean, datetime
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnoFull-featured ANSI SQL support
APIs and other access methodsgRPC
HTTP API
JDBC
Open binary protocol
Supported programming languagesC++
Erlang
Go
Java
JavaScript
JavaScriptC
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresPythonfunctions in JavaScriptLua, C and SQL stored procedures
Triggersnoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding, 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 nodesnoneAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCasual 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 integritynoyes
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 transactions
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyes infousing RocksDByes, write ahead logging
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 persistence
User concepts infoAccess controlSimple rights management via user accountsAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
More information provided by the system vendor
EventStoreDBGreptimeDBJSqlDbTarantool
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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EventStoreDBGreptimeDBJSqlDbTarantool
DB-Engines blog posts

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

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