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DBMS > AlaSQL vs. Citus vs. Tarantool vs. VictoriaMetrics

System Properties Comparison AlaSQL vs. Citus vs. Tarantool vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonCitus  Xexclude from comparisonTarantool  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionJavaScript DBMS libraryScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Key-value store
Relational DBMS
Time Series DBMS
Secondary database modelsDocument storeSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitealasql.orgwww.citusdata.comwww.tarantool.iovictoriametrics.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.citusdata.comwww.tarantool.io/­en/­docdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperAndrey Gershun & Mathias R. WulffVKVictoriaMetrics
Initial release2014201020082018
Current release8.1, December 20182.10.0, May 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoAGPL, commercial license also availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoApache Version 2.0
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 languageJavaScriptCC and C++Go
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxBSD
Linux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or datenoyesstring, 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.noyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesnoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes infostandard, with numerous extensionsFull-featured ANSI SQL supportno
APIs and other access methodsJavaScript APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Open binary protocolGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJavaScript.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Lua, C and SQL stored proceduresno
Triggersyesyesyes, before/after data modification events, on replication events, client session eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, 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 nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate 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 integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, full featured in-memory storage engine with persistenceno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
AlaSQLCitusTarantoolVictoriaMetrics
DB-Engines blog posts

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

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