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DBMS > Dgraph vs. EsgynDB vs. GeoMesa vs. Raima Database Manager vs. TDengine

System Properties Comparison Dgraph vs. EsgynDB vs. GeoMesa vs. Raima Database Manager vs. TDengine

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.RDBMS with a small footprint, either embedded into an application or used as a database serverTime Series DBMS and big data platform
Primary database modelGraph DBMSRelational DBMSSpatial DBMSRelational DBMS
Time Series DBMS
Time Series DBMS
Secondary database modelsRelational 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
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitedgraph.iowww.esgyn.cnwww.geomesa.orgraima.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdgraph.io/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.raima.comdocs.tdengine.com
DeveloperDgraph Labs, Inc.EsgynCCRi and othersRaima Inc.TDEngine, previously Taos Data
Initial release20162015201419842019
Current release4.0.5, February 202415, June 20213.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0commercialOpen Source infoAGPL V3, also commercial editions available
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.
Implementation languageGoC++, JavaScalaCC
Server operating systemsLinux
OS X
Windows
LinuxAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
Windows
Data schemeschema-freeyesyesyesyes
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.nononono infoExporting/Importing of XML structures possibleno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyesnoyesStandard 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
ADO.NET
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Objective-C
PL/SQL
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationno
Triggersnononoyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesyesShardingdepending on storage layerhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersdepending on storage layerSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on storage layerImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.nodepending on storage layeryes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storagenoyes
More information provided by the system vendor
DgraphEsgynDBGeoMesaRaima Database Manager infoformerly named db_VistaTDengine
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
TDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DgraphEsgynDBGeoMesaRaima Database Manager infoformerly named db_VistaTDengine
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