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DBMS > Apache Pinot vs. Datastax Enterprise vs. DolphinDB

System Properties Comparison Apache Pinot vs. Datastax Enterprise vs. DolphinDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonDolphinDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.DolphinDB 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.
Primary database modelRelational DBMSWide column storeTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Websitepinot.apache.orgwww.datastax.com/­products/­datastax-enterprisewww.dolphindb.com
Technical documentationdocs.pinot.apache.orgdocs.datastax.comdocs.dolphindb.cn/­en/­help200/­index.html
DeveloperApache Software Foundation and contributorsDataStaxDolphinDB, Inc
Initial release201520112018
Current release1.0.0, September 20236.8, April 2020v2.00.4, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infofree community version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Linux
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query language
APIs and other access methodsJDBCProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Supported programming languagesGo
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Server-side scripts infoStored proceduresnoyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infono "single point of failure"horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users can be defined per objectAdministrators, Users, Groups
More information provided by the system vendor
Apache PinotDatastax EnterpriseDolphinDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache PinotDatastax EnterpriseDolphinDB
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