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DBMS > Graph Engine vs. HarperDB vs. OmniSci vs. TempoIQ

System Properties Comparison Graph Engine vs. HarperDB vs. OmniSci vs. TempoIQ

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHarperDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA distributed database focused on speed and ease of use. It has an intuitive REST API, and supports NoSQL and SQL including joins. HarperDB leverages standard interfaces, and users can be up and running in minutes.A high performance, in-memory, column-oriented RDBMS, designed to run on GPUsScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelGraph DBMS
Key-value store
Document storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#190  Overall
#17  Graph DBMS
#31  Key-value stores
Score0.77
Rank#198  Overall
#31  Document stores
Score1.23
Rank#157  Overall
#76  Relational DBMS
Websitewww.graphengine.ioharperdb.iowww.omnisci.comtempoiq.com (offline)
Technical documentationwww.graphengine.io/­docs/­manualharperdb.io/­developers/­documentation/­overviewdocs.omnisci.com
DeveloperMicrosoftHarperDBMapD Technologies, Inc.TempoIQ
Initial release2010201720162012
Current release3.1, August 20215.6, April 2021
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infofree community edition availableOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
HarperDB Cloud: Get To Market Faster, For Less Money Using Our Built-in API.
Implementation language.NET and CNode.jsC++ and CUDA
Server operating systems.NETLinux
OS X
Linux
Data schemeyesdynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes
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
Secondary indexesyesno
SQL infoSupport of SQLnoSQL-like data manipulation statementsyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Thrift
HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
.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
All languages supporting JDBC/ODBC/Thrift
Python
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyesCustom Functions infosince release 3.1nono
Triggersnononoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningA table resides as a whole on one (or more) nodes in a clusterSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardsimple authentication-based access control
More information provided by the system vendor
Graph Engine infoformer name: TrinityHarperDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TempoIQ infoformerly TempoDB
Specific characteristicsHarperDB is the first distributed database with hybrid SQL & NoSQL functionality...
» more
Competitive advantagesBy combining the functionality of the best SQL, NoSQL, and NewSQL products on the...
» more
Typical application scenariosUse cases where HarperDB is a better fit than other solutions include: Rapid app...
» more
Key customersA few highlighted customers include: US Army, US Airforce, Chelan PUD, TATA, & Lumen....
» more
Market metrics6,800 + npm downloads 1,600 + on Docker Hub 2,600 + cloud & local signups
» more
Licensing and pricing modelsHarperDB follows a freemium/premium model . A database is only as powerful as it...
» more

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More resources
Graph Engine infoformer name: TrinityHarperDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TempoIQ infoformerly TempoDB
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