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DBMS > Apache Pinot vs. Databricks vs. mSQL vs. TigerGraph

System Properties Comparison Apache Pinot vs. Databricks vs. mSQL vs. TigerGraph

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDatabricks  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.mSQL (Mini SQL) is a simple and lightweight RDBMSA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitepinot.apache.orgwww.databricks.comhughestech.com.au/­products/­msqlwww.tigergraph.com
Technical documentationdocs.pinot.apache.orgdocs.databricks.comdocs.tigergraph.com
DeveloperApache Software Foundation and contributorsDatabricksHughes Technologies
Initial release2015201319942017
Current release1.0.0, September 20234.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree licenses can be providedcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemsAll OS with a Java JDK11 or higherhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
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.yesnono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languagewith Databricks SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (GSQL)
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
Python
R
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyes
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.nonono
User concepts infoAccess controlnoRole-based access control
More information provided by the system vendor
Apache PinotDatabricksmSQL infoMini SQLTigerGraph
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache PinotDatabricksmSQL infoMini SQLTigerGraph
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