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DBMS > OmniSci vs. STSdb vs. UniData,UniVerse vs. Vertica

System Properties Comparison OmniSci vs. STSdb vs. UniData,UniVerse vs. Vertica

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Editorial information provided by DB-Engines
NameOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonSTSdb  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodMultiValue database and application server with SQL mapping layer and meta database capabilitiesColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSKey-value storeMultivalue DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.26
Rank#154  Overall
#75  Relational DBMS
Score0.08
Rank#306  Overall
#45  Key-value stores
Score4.11
Rank#84  Overall
#2  Multivalue DBMS
Score20.57
Rank#35  Overall
#21  Relational DBMS
Websitegithub.com/­omnisci/­omniscidb
www.omnisci.com
github.com/­STSSoft/­STSdb4www.rocketsoftware.com/­products/­rocket-u2www.vertica.com
Technical documentationdocs.omnisci.comwww.rocketsoftware.com/­products/­rocket-u2/­documentationwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperMapD Technologies, Inc.STS Soft SCRocket SoftwareVertica / Micro Focus infoprior to that Hewlett Packard
Initial release2016201119852005
Current release5.6, April 20214.0.8, September 2015Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGPLv2, commercial license availablecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC#C
Server operating systemsLinuxWindowsAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)optionalyes
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.noyes
Secondary indexesnonoyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyesnoyesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client APIJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C#
Java
.Net
Basic infoU2 Basic
C
Java
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnonoyesyes
Triggersnonoyes infoU2 Basicno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnonenoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replicationMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights according to SQL-standard and operating system basedfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
OmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018STSdbUniData,UniVerseVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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More resources
OmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018STSdbUniData,UniVerseVertica infoVertica Analytics Platform
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