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DBMS > Datomic vs. GridGain vs. NCache vs. SQream DB

System Properties Comparison Datomic vs. GridGain vs. NCache vs. SQream DB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGridGain  Xexclude from comparisonNCache  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGridGain is an in-memory computing platform, built on Apache IgniteOpen-Source and Enterprise in-memory Key-Value Storea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeRelational DBMS
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.96
Rank#195  Overall
#29  Key-value stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.datomic.comwww.gridgain.comwww.alachisoft.com/­ncachesqream.com
Technical documentationdocs.datomic.comwww.gridgain.com/­docs/­index.htmlwww.alachisoft.com/­resources/­docsdocs.sqream.com
DeveloperCognitectGridGain Systems, Inc.AlachisoftSQream Technologies
Initial release2012200720052017
Current release1.0.7075, December 2023GridGain 8.5.15.3.3, April 20242022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoEnterprise Edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJava, C++, .NetC#, .NET, .NET Core, JavaC++, CUDA, Haskell, Java, Scala
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
Windows
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes, ANSI Standard SQL 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.noyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.yes
APIs and other access methodsRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
IDistributedCache
JCache
LINQ
Proprietary native API
.Net
JDBC
ODBC
Supported programming languagesClojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes (compute grid and cache interceptors can be used instead)no infosupport for stored procedures with SQL-Server CLRuser defined functions in Python
TriggersBy using transaction functionsyes (cache interceptors and events)yes infoNotificationsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingyeshorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes (replicated cache)yes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic locking and pessimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
DatomicGridGainNCacheSQream DB
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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DatomicGridGainNCacheSQream DB
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