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DBMS > Cassandra vs. OmniSci vs. TimescaleDB

System Properties Comparison Cassandra vs. OmniSci vs. TimescaleDB

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelWide column storeRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score123.22
Rank#10  Overall
#1  Wide column stores
Score2.08
Rank#105  Overall
#52  Relational DBMS
Score1.52
Rank#124  Overall
#8  Time Series DBMS
Websitecassandra.apache.orgwww.omnisci.comwww.timescale.com
Technical documentationcassandra.apache.org/­doc/­latestwww.omnisci.com/­docs/­latestdocs.timescale.com
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookMapD Technologies, Inc.Timescale
Initial release200820162017
Current release3.11.4, February 2019V4
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDAC
Server operating systemsBSD
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyes
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionnoyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)yesyes infofull PostgreSQL SQL syntax
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Thrift
JDBC
ODBC
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infoRound robinyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMaster-master replicationMaster-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID
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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
CassandraOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TimescaleDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
TimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
1 million+ downloads, 6,500+ Github stars
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
Apache 2 and Timescale License (TSL); information on pricing for support and enterprise...
» more

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More resources
CassandraOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TimescaleDB
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