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DBMS > GeoSpock vs. Lovefield vs. Tarantool vs. TerarkDB vs. VictoriaMetrics

System Properties Comparison GeoSpock vs. Lovefield vs. Tarantool vs. TerarkDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonLovefield  Xexclude from comparisonTarantool  Xexclude from comparisonTerarkDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleEmbeddable relational database for web apps written in pure JavaScriptIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Relational DBMS
Key-value storeTime Series DBMS
Secondary database modelsTime Series DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitegeospock.comgoogle.github.io/­lovefieldwww.tarantool.iogithub.com/­bytedance/­terarkdbvictoriametrics.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.tarantool.io/­en/­docbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGeoSpockGoogleVKByteDance, originally TerarkVictoriaMetrics
Initial release2014200820162018
Current release2.0, September 20192.1.12, February 20172.10.0, May 2022v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprisecommercial inforestricted open source version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaScriptC and C++C++Go
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariBSD
Linux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesFlexible data schema: relational definition for tables with ability to store json-like documents in columnsschema-free
Typing infopredefined data types such as float or dateyesyesstring, double, decimal, uuid, integer, blob, boolean, datetimeno
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.nonononono
Secondary indexestemporal, categoricalyesyesno
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like query language infovia JavaScript builder patternFull-featured ANSI SQL supportnono
APIs and other access methodsJDBCOpen binary protocolC++ API
Java API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJavaScriptC
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
C++
Java
Server-side scripts infoStored proceduresnonoLua, C and SQL stored proceduresnono
TriggersnoUsing read-only observersyes, before/after data modification events, on replication events, client session eventsnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.none
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)
noneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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
Eventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes, write ahead loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes, full featured in-memory storage engine with persistenceyesno
User concepts infoAccess controlAccess rights for users can be defined per tablenoAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
no

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More resources
GeoSpockLovefieldTarantoolTerarkDBVictoriaMetrics
DB-Engines blog posts

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

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