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DBMS > Apache Pinot vs. Hawkular Metrics vs. Splice Machine vs. Transwarp StellarDB

System Properties Comparison Apache Pinot vs. Hawkular Metrics vs. Splice Machine vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSplice Machine  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSTime Series DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitepinot.apache.orgwww.hawkular.orgsplicemachine.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.pinot.apache.orgwww.hawkular.org/­hawkular-metrics/­docs/­user-guidesplicemachine.com/­how-it-works
DeveloperApache Software Foundation and contributorsCommunity supported by Red HatSplice MachineTranswarp
Initial release201520142014
Current release1.0.0, September 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like query languagenoyesSQL-like query language
APIs and other access methodsJDBCHTTP RESTJDBC
Native Spark Datasource
ODBC
OpenCypher
Supported programming languagesGo
Java
Python
Go
Java
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoJava
Triggersyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infobased on CassandraShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.noyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardyes

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More resources
Apache PinotHawkular MetricsSplice MachineTranswarp StellarDB
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