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DBMS > Dgraph vs. EXASOL vs. HugeGraph vs. InfluxDB vs. Tkrzw

System Properties Comparison Dgraph vs. EXASOL vs. HugeGraph vs. InfluxDB vs. Tkrzw

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEXASOL  Xexclude from comparisonHugeGraph  Xexclude from comparisonInfluxDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A fast-speed and highly-scalable Graph DBMSDBMS for storing time series, events and metricsA 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 modelGraph DBMSRelational DBMSGraph DBMSTime Series DBMSKey-value store
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitedgraph.iowww.exasol.comgithub.com/­hugegraph
hugegraph.apache.org
www.influxdata.com/­products/­influxdb-overviewdbmx.net/­tkrzw
Technical documentationdgraph.io/­docswww.exasol.com/­resourceshugegraph.apache.org/­docsdocs.influxdata.com/­influxdb
DeveloperDgraph Labs, Inc.ExasolBaiduMikio Hirabayashi
Initial release20162000201820132020
Current release0.92.7.6, April 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaGoC++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Unix
Linux
OS X infothrough Homebrew
Linux
macOS
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data and Stringsno
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 indexesyesyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLnoyesnoSQL-like query languageno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
.Net
JDBC
ODBC
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
JSON over UDP
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Lua
Python
R
Groovy
Java
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsasynchronous Gremlin script jobsnono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesyesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.yesyesyes infoDepending on used storage engineyes infousing specific database classes
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and roles according to SQL-standardUsers, roles and permissionssimple rights management via user accountsno
More information provided by the system vendor
DgraphEXASOLHugeGraphInfluxDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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