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

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

Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonMilvus  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 searchesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelWide column storeGraph DBMSRelational DBMSMultivalue DBMSKey-value store
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
Score0.02
Rank#340  Overall
#54  Key-value stores
Websitecassandra.apache.orgdgraph.iowww.esgyn.cnmilvus.iodbmx.net/­tkrzw
Technical documentationcassandra.apache.org/­doc/­latestdgraph.io/­docsmilvus.io/­docs/­overview.md
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookDgraph Labs, Inc.EsgynMikio Hirabayashi
Initial release20082016201520192020
Current release4.0.1, September 20211.0, March 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
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++C++
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
LinuxLinuxLinux
macOS
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyno
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 solutionyesyesno
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)noyesnono
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 API
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++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoJava Stored Proceduresnono
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 datacentersnone
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
Foreign keys infoReferential integritynonoyesnono
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 datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users can be defined per objectno infoPlanned for future releasesfine grained access rights according to SQL-standardnono
More information provided by the system vendor
CassandraDgraphEsgynDBMilvusTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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...
» more
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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More resources
CassandraDgraphEsgynDBMilvusTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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