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DBMS > EsgynDB vs. HarperDB vs. InterSystems Caché vs. Quasardb vs. ToroDB

System Properties Comparison EsgynDB vs. HarperDB vs. InterSystems Caché vs. Quasardb vs. ToroDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHarperDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonQuasardb  Xexclude from comparisonToroDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionUltra-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.A multi-model DBMS and application serverDistributed, high-performance timeseries databaseA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.esgyn.cnwww.harperdb.iowww.intersystems.com/­products/­cachequasar.aigithub.com/­torodb/­server
Technical documentationdocs.harperdb.io/­docsdocs.intersystems.comdoc.quasar.ai/­master
DeveloperEsgynHarperDBInterSystemsquasardb8Kdata
Initial release20152017199720092016
Current release3.1, August 20212018.1.4, May 20203.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL-V3
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 languageC++, JavaNode.jsC++Java
Server operating systemsLinuxLinux
OS X
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
All OS with a Java 7 VM
Data schemeyesdynamic schemadepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes infointeger and binaryyes infostring, integer, double, boolean, date, object_id
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.nonoyesnono
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLyesSQL-like data manipulation statementsyesSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.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
C#
C++
Java
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresJava Stored ProceduresCustom Functions infosince release 3.1yesno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusternoneSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infothe nodes on which a table resides can be definedSource-replica replicationSource-replica replication with selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users, groups and rolesCryptographically strong user authentication and audit trailAccess rights for users and roles

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More resources
EsgynDBHarperDBInterSystems CachéQuasardbToroDB
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