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DBMS > Ignite vs. Teradata vs. VictoriaMetrics

System Properties Comparison Ignite vs. Teradata vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonTeradata  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A hybrid cloud data analytics software platform (Teradata Vantage)A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score47.84
Rank#21  Overall
#15  Relational DBMS
Score1.42
Rank#161  Overall
#14  Time Series DBMS
Websiteignite.apache.orgwww.teradata.comvictoriametrics.com
Technical documentationapacheignite.readme.io/­docsdocs.teradata.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software FoundationTeradataVictoriaMetrics
Initial release201519842018
Current releaseApache Ignite 2.6Teradata Vantage 1.0 MU2, January 2019v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetGo
Server operating systemsLinux
OS X
Solaris
Windows
hosted
Linux
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.yesyesno
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infoSQL 2016 + extensionsno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoUDFs, stored procedures, table functions in parallelno
Triggersyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica replication
Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
IgniteTeradataVictoriaMetrics
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