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DBMS > Tarantool vs. Teradata vs. VelocityDB vs. VictoriaMetrics

System Properties Comparison Tarantool vs. Teradata vs. VelocityDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameTarantool  Xexclude from comparisonTeradata  Xexclude from comparisonVelocityDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA hybrid cloud data analytics software platform (Teradata Vantage)A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Key-value store
Relational DBMS
Relational DBMSGraph DBMS
Object oriented DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extensionDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitewww.tarantool.iowww.teradata.comvelocitydb.comvictoriametrics.com
Technical documentationwww.tarantool.io/­en/­docdocs.teradata.comvelocitydb.com/­UserGuidedocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperVKTeradataVelocityDB IncVictoriaMetrics
Initial release2008198420112018
Current release2.10.0, May 2022Teradata Vantage 1.0 MU2, January 20197.xv1.91, May 2023
License infoCommercial or Open SourceOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterprisecommercialcommercialOpen 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 languageC and C++C#Go
Server operating systemsBSD
Linux
macOS
hosted
Linux
Any that supports .NETFreeBSD
Linux
macOS
OpenBSD
Data schemeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyesyes
Typing infopredefined data types such as float or datestring, double, decimal, uuid, integer, blob, boolean, datetimeyesyes
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.noyesnono
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLFull-featured ANSI SQL supportyes infoSQL 2016 + extensionsnono
APIs and other access methodsOpen binary protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
.NetGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
Server-side scripts infoStored proceduresLua, C and SQL stored proceduresyes infoUDFs, stored procedures, table functions in parallelnono
Triggersyes, before/after data modification events, on replication events, client session eventsyesCallbacks are triggered when data changesno
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.Sharding infoHashingSharding
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
Source-replica replication
Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
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 transactionsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, cooperative multitaskingyesyesyes
Durability infoSupport for making data persistentyes, write ahead loggingyesyesyes
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 persistenceyesyesno
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
fine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
TarantoolTeradataVelocityDBVictoriaMetrics
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
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