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DBMS > Apache Pinot vs. DolphinDB vs. Heroic vs. Transwarp Hippo

System Properties Comparison Apache Pinot vs. DolphinDB vs. Heroic vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDolphinDB  Xexclude from comparisonHeroic  Xexclude from comparisonTranswarp Hippo  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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSVector DBMS
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
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.05
Rank#386  Overall
#14  Vector DBMS
Websitepinot.apache.orgwww.dolphindb.comgithub.com/­spotify/­heroicwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.pinot.apache.orgdocs.dolphindb.cn/­en/­help200/­index.htmlspotify.github.io/­heroic
DeveloperApache Software Foundation and contributorsDolphinDB, IncSpotify
Initial release2015201820142023
Current release1.0.0, September 2023v2.00.4, January 20221.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community version availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
Linux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and String
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 infovia Elasticsearchno
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
HQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP API
Supported programming languagesGo
Java
Python
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Java
Python
Server-side scripts infoStored proceduresyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnoyes
User concepts infoAccess controlAdministrators, Users, GroupsRole based access control and fine grained access rights

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More resources
Apache PinotDolphinDBHeroicTranswarp Hippo
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