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DBMS > Apache Pinot vs. Milvus vs. Sadas Engine vs. ToroDB vs. VictoriaMetrics

System Properties Comparison Apache Pinot vs. Milvus vs. Sadas Engine vs. ToroDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonMilvus  Xexclude from comparisonSadas Engine  Xexclude from comparisonToroDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA DBMS designed for efficient storage of vector data and vector similarity searchesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA MongoDB-compatible JSON document store, built on top of PostgreSQLA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSVector DBMSRelational DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitepinot.apache.orgmilvus.iowww.sadasengine.comgithub.com/­torodb/­servervictoriametrics.com
Technical documentationdocs.pinot.apache.orgmilvus.io/­docs/­overview.mdwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundation and contributorsSADAS s.r.l.8KdataVictoriaMetrics
Initial release20152019200620162018
Current release1.0.0, September 20232.3.4, January 20248.0v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infofree trial version availableOpen Source infoAGPL-V3Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC++, GoC++JavaGo
Server operating systemsAll OS with a Java JDK11 or higherLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
Linux
Windows
All OS with a Java 7 VMFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesyes infostring, integer, double, boolean, date, object_id
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.nononono
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like query languagenoyesno
APIs and other access methodsJDBCRESTful HTTP APIJDBC
ODBC
Proprietary protocol
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesGo
Java
Python
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlRole based access control and fine grained access rightsAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
Apache PinotMilvusSadas EngineToroDBVictoriaMetrics
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Apache PinotMilvusSadas EngineToroDBVictoriaMetrics
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