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DBMS > Apache Pinot vs. DolphinDB vs. Fauna vs. Graph Engine

System Properties Comparison Apache Pinot vs. DolphinDB vs. Fauna vs. Graph Engine

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDolphinDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelRelational DBMSTime Series DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Graph DBMS
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Websitepinot.apache.orgwww.dolphindb.comfauna.comwww.graphengine.io
Technical documentationdocs.pinot.apache.orgdocs.dolphindb.cn/­en/­help200/­index.htmldocs.fauna.comwww.graphengine.io/­docs/­manual
DeveloperApache Software Foundation and contributorsDolphinDB, IncFauna, Inc.Microsoft
Initial release2015201820142010
Current release1.0.0, September 2023v2.00.4, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community version availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Scala.NET and C
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
hosted.NET
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenono
APIs and other access methodsJDBCJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP APIRESTful HTTP API
Supported programming languagesGo
Java
Python
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresyesuser defined functionsyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioninghorizontal partitioning infoconsistent hashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAdministrators, Users, GroupsIdentity management, authentication, and access control

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More resources
Apache PinotDolphinDBFauna infopreviously named FaunaDBGraph Engine infoformer name: Trinity
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