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DBMS > Cassandra vs. Drizzle vs. EsgynDB vs. OmniSci

System Properties Comparison Cassandra vs. Drizzle vs. EsgynDB vs. OmniSci

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelWide column storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score120.71
Rank#10  Overall
#1  Wide column stores
Score0.17
Rank#263  Overall
#123  Relational DBMS
Score2.30
Rank#104  Overall
#50  Relational DBMS
Websitecassandra.apache.orgesgyn.comwww.omnisci.com
Technical documentationcassandra.apache.org/­doc/­latestesgyn.com/­developersdocs.omnisci.com/­latest
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookDrizzle project, originally started by Brian AkerEsgynMapD Technologies, Inc.
Initial release2008200820152016
Current release3.11.5, October 20197.2.4, September 2012V4
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGNU GPLcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++, JavaC++ and CUDA
Server operating systemsBSD
Linux
OS X
Windows
FreeBSD
Linux
OS X
LinuxLinux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 solutionyesyesno
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)yes infowith proprietary extensionsyesyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBCADO.NET
JDBC
ODBC
JDBC
ODBC
Thrift
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonoJava Stored Proceduresno
Triggersyesno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMaster-master replication
Master-slave replication
Master-master replication between multi datacentersMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
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 integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per objectPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
CassandraDrizzleEsgynDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Capabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
EsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Ideally suited to scenarios where high speed continuous data ingestion is required...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
EsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
EsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more

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More resources
CassandraDrizzleEsgynDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Conferences and events

DataStax Accelerate
San Diego, California, USA, 11-13 May 2020

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