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DBMS > Apache Pinot vs. Citus vs. HugeGraph vs. Linter vs. RavenDB

System Properties Comparison Apache Pinot vs. Citus vs. HugeGraph vs. Linter vs. RavenDB

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonCitus  Xexclude from comparisonHugeGraph  Xexclude from comparisonLinter  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA fast-speed and highly-scalable Graph DBMSRDBMS for high security requirementsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMSDocument store
Secondary database modelsDocument storeSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitepinot.apache.orgwww.citusdata.comgithub.com/­hugegraph
hugegraph.apache.org
linter.ruravendb.net
Technical documentationdocs.pinot.apache.orgdocs.citusdata.comhugegraph.apache.org/­docsravendb.net/­docs
DeveloperApache Software Foundation and contributorsBaidurelex.ruHibernating Rhinos
Initial release20152010201819902010
Current release1.0.0, September 20238.1, December 20180.95.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0commercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaC and C++C#
Server operating systemsAll OS with a Java JDK11 or higherLinuxLinux
macOS
Unix
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLSQL-like query languageyes infostandard, with numerous extensionsnoyesSQL-like query language (RQL)
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesGo
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Groovy
Java
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.asynchronous Gremlin script jobsyes infoproprietary syntax with the possibility to convert from PL/SQLyes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID, Cluster-wide transaction available
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsfine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
Apache PinotCitusHugeGraphLinterRavenDB
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