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DBMS > Cassandra vs. Dgraph vs. EsgynDB vs. Milvus vs. TimesTen

System Properties Comparison Cassandra vs. Dgraph vs. EsgynDB vs. Milvus vs. TimesTen

Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonMilvus  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA DBMS designed for efficient storage of vector data and vector similarity searchesIn-Memory RDBMS compatible to Oracle
Primary database modelWide column storeGraph DBMSRelational DBMSMultivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score123.55
Rank#11  Overall
#1  Wide column stores
Score1.51
Rank#139  Overall
#11  Graph DBMS
Score0.23
Rank#281  Overall
#130  Relational DBMS
Score0.38
Rank#257  Overall
#10  Multivalue DBMS
Score1.79
Rank#129  Overall
#64  Relational DBMS
Websitecassandra.apache.orgdgraph.iowww.esgyn.cnmilvus.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcassandra.apache.org/­doc/­latestdgraph.io/­docsmilvus.io/­docs/­overview.mddocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookDgraph Labs, Inc.EsgynOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20082016201520191998
Current release4.0.1, September 20211.0, March 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageJavaGoC++, JavaC++
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
LinuxLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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.nonononono
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyesnoyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)noyesnoyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC++
Go
Java
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoJava Stored ProceduresnoPL/SQL
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"yesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleSynchronous replication via RaftMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess rights for users can be defined per objectno infoPlanned for future releasesfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
CassandraDgraphEsgynDBMilvusTimesTen
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...
» more
Horizontally scalable transactional graph database with fast arbitrary-depth joins...
» more
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 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

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3rd partiesDataStax Enterprise: Apache Cassandra for enterprises.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
CassandraDgraphEsgynDBMilvusTimesTen
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