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DBMS > Kinetica vs. NCache vs. OpenEdge vs. TimescaleDB

System Properties Comparison Kinetica vs. NCache vs. OpenEdge vs. TimescaleDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNCache  Xexclude from comparisonOpenEdge  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsOpen-Source and Enterprise in-memory Key-Value StoreApplication development environment with integrated database management systemA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Search engine infoUsing distributed Lucene
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.91
Rank#196  Overall
#29  Key-value stores
Score3.69
Rank#78  Overall
#42  Relational DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websitewww.kinetica.comwww.alachisoft.com/­ncachewww.progress.com/­openedgewww.timescale.com
Technical documentationdocs.kinetica.comwww.alachisoft.com/­resources/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.timescale.com
DeveloperKineticaAlachisoftProgress Software CorporationTimescale
Initial release2012200519842017
Current release7.1, August 20215.3.3, April 2024OpenEdge 12.2, March 20202.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoEnterprise Edition availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C#, .NET, .NET Core, JavaC
Server operating systemsLinuxLinux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes infoclose to SQL 92yes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
IDistributedCache
JCache
LINQ
Proprietary native API
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Progress proprietary ABL (Advanced Business Language).Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsno infosupport for stored procedures with SQL-Server CLRyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoNotificationsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyeshorizontal partitioning infosince Version 11.4yes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, with selectable consistency levelSource-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic locking and pessimistic lockingACIDACID
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 infoGPU vRAM or System RAMyesnono
User concepts infoAccess controlAccess rights for users and roles on table levelAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Users and groupsfine grained access rights according to SQL-standard
More information provided by the system vendor
KineticaNCacheOpenEdgeTimescaleDB
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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More resources
KineticaNCacheOpenEdgeTimescaleDB
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TimescaleDB Is a Vector Database Now, Too
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PostgreSQL is Now Faster than Pinecone, 75% Cheaper, with New Open Source Extensions
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