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DBMS > Apache Pinot vs. Microsoft Azure Synapse Analytics vs. Milvus vs. Rockset

System Properties Comparison Apache Pinot vs. Microsoft Azure Synapse Analytics vs. Milvus vs. Rockset

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searchesA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRelational DBMSVector DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websitepinot.apache.orgazure.microsoft.com/­services/­synapse-analyticsmilvus.iorockset.com
Technical documentationdocs.pinot.apache.orgdocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.mddocs.rockset.com
DeveloperApache Software Foundation and contributorsMicrosoftRockset
Initial release2015201620192019
Current release1.0.0, September 20232.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
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++C++, GoC++
Server operating systemsAll OS with a Java JDK11 or higherhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringdynamic typing
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.nonono infoingestion from XML files supported
Secondary indexesyesnoall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageyesnoRead-only SQL queries, including JOINs
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
RESTful HTTP APIHTTP REST
Supported programming languagesGo
Java
Python
C#
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresTransact SQLnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioningShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.yes
User concepts infoAccess controlyesRole based access control and fine grained access rightsAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Apache PinotMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusRockset
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 PinotMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusRockset
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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