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DBMS > Apache Cassandra vs. Apache Pinot vs. Bangdb vs. Riak TS

System Properties Comparison Apache Cassandra vs. Apache Pinot vs. Bangdb vs. Riak TS

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonApache Pinot  Xexclude from comparisonBangdb  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyConverged and high performance database for device data, events, time series, document and graphRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelWide column storeRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Time Series DBMS
Secondary database modelsVector DBMS infostarting with release V5Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score98.94
Rank#11  Overall
#1  Wide column stores
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score0.17
Rank#318  Overall
#27  Time Series DBMS
Websitecassandra.apache.orgpinot.apache.orgbangdb.com
Technical documentationcassandra.apache.org/­doc/­latestdocs.pinot.apache.orgdocs.bangdb.comwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookApache Software Foundation and contributorsSachin Sinha, BangDBOpen Source, formerly Basho Technologies
Initial release2008201520122015
Current release5.0-rc1, July 20241.0.0, September 2023BangDB 2.0, October 20213.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0Open Source infoBSD 3Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaJavaC, C++Erlang
Server operating systemsBSD
Linux
OS X
Windows
All OS with a Java JDK11 or higherLinuxLinux
OS X
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes: string, long, double, int, geospatial, stream, eventsno
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 indexesrestricted infoonly equality queries, not always the best performing solutionyes infosecondary, composite, nested, reverse, geospatialrestricted
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like query languageSQL like support with command line toolyes, limited
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBCProprietary protocol
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Go
Java
Python
C
C#
C++
Java
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonoErlang
Triggersyesyes, Notifications (with Streaming only)yes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"horizontal partitioningSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Tunable consistency, set CAP knob accordinglyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only mode
User concepts infoAccess controlAccess rights for users can be defined per objectyes (enterprise version only)no
More information provided by the system vendor
Apache CassandraApache PinotBangdbRiak TS
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsApache Cassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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