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DBMS > Dgraph vs. EsgynDB vs. InterSystems Caché vs. PlanetScale vs. TDengine

System Properties Comparison Dgraph vs. EsgynDB vs. InterSystems Caché vs. PlanetScale vs. TDengine

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonPlanetScale  Xexclude from comparisonTDengine  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA multi-model DBMS and application serverScalable, distributed, serverless MySQL database platform built on top of VitessTime Series DBMS and big data platform
Primary database modelGraph DBMSRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitedgraph.iowww.esgyn.cnwww.intersystems.com/­products/­cacheplanetscale.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdgraph.io/­docsdocs.intersystems.complanetscale.com/­docsdocs.tdengine.com
DeveloperDgraph Labs, Inc.EsgynInterSystemsPlanetScaleTDEngine, previously Taos Data
Initial release20162015199720202019
Current release2018.1.4, May 20203.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaGoC
Server operating systemsLinux
OS X
Windows
LinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Linux
Windows
Data schemeschema-freeyesdepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyesyesyes infowith proprietary extensionsStandard SQL with extensions for time-series applications
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
JDBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesyes infoproprietary syntaxno
Triggersnonoyesyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesyesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersSource-replica replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
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.noyesyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users, groups and rolesUsers with fine-grained authorization concept infono user groups or rolesyes
More information provided by the system vendor
DgraphEsgynDBInterSystems CachéPlanetScaleTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
DgraphEsgynDBInterSystems CachéPlanetScaleTDengine
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