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DBMS > Apache Pinot vs. Hazelcast vs. Microsoft Azure SQL Database vs. UniData,UniVerse vs. Warp 10

System Properties Comparison Apache Pinot vs. Hazelcast vs. Microsoft Azure SQL Database vs. UniData,UniVerse vs. Warp 10

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA widely adopted in-memory data gridDatabase as a Service offering with high compatibility to Microsoft SQL ServerMultiValue database and application server with SQL mapping layer and meta database capabilitiesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSKey-value storeRelational DBMSMultivalue DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitepinot.apache.orghazelcast.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatawww.warp10.io
Technical documentationdocs.pinot.apache.orghazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidatawww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation and contributorsHazelcastMicrosoftRocket SoftwareSenX
Initial release20152008201019852015
Current release1.0.0, September 20235.3.6, November 2023V12
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++CJava
Server operating systemsAll OS with a Java JDK11 or higherAll OS with a Java VMhostedAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesoptionalyes
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.yes infothe object must implement a serialization strategyyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyesyesno
APIs and other access methodsJDBCJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesTransact SQLyesyes infoWarpScript
Triggersyes infoEventsyesyes infoU2 Basicno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyes, with always 3 replicas availableSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDACID infoconfigurableno
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
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system basedMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache PinotHazelcastMicrosoft Azure SQL Database infoformerly SQL AzureUniData,UniVerseWarp 10
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