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DBMS > EsgynDB vs. eXtremeDB vs. HarperDB vs. TerminusDB

System Properties Comparison EsgynDB vs. eXtremeDB vs. HarperDB vs. TerminusDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHarperDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionNatively in-memory DBMS with options for persistency, high-availability and clusteringUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Document storeGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.esgyn.cnwww.mcobject.comwww.harperdb.ioterminusdb.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.harperdb.io/­docsterminusdb.github.io/­terminusdb/­#
DeveloperEsgynMcObjectHarperDBDataChemist Ltd.
Initial release2015200120172018
Current release8.2, 20213.1, August 202111.0.0, January 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community edition availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC and C++Node.jsProlog, Rust
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Linux
Data schemeyesyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes
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.nono infosupport of XML interfaces availablenono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyes infowith the option: eXtremeSQLSQL-like data manipulation statementsSQL-like query language (WOQL)
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
JavaScript
Python
Server-side scripts infoStored proceduresJava Stored ProceduresyesCustom Functions infosince release 3.1yes
Triggersnoyes infoby defining eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingA table resides as a whole on one (or more) nodes in a clusterGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infothe nodes on which a table resides can be definedJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesRole-based access control
More information provided by the system vendor
EsgynDBeXtremeDBHarperDBTerminusDB infoformer name was DataChemist
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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EsgynDBeXtremeDBHarperDBTerminusDB infoformer name was DataChemist
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