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DBMS > Datomic vs. EXASOL vs. Google Cloud Bigtable vs. NSDb vs. STSdb

System Properties Comparison Datomic vs. EXASOL vs. Google Cloud Bigtable vs. NSDb vs. STSdb

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonNSDb  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Time Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.datomic.comwww.exasol.comcloud.google.com/­bigtablensdb.iogithub.com/­STSSoft/­STSdb4
Technical documentationdocs.datomic.comwww.exasol.com/­resourcescloud.google.com/­bigtable/­docsnsdb.io/­Architecture
DeveloperCognitectExasolGoogleSTS Soft SC
Initial release20122000201520172011
Current release1.0.6735, June 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoApache Version 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJava, ScalaC#
Server operating systemsAll OS with a Java VMhostedLinux
macOS
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes: int, bigint, decimal, stringyes infoprimitive types and user defined types (classes)
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 indexesyesyesnoall fields are automatically indexedno
SQL infoSupport of SQLnoyesnoSQL-like query languageno
APIs and other access methodsRESTful HTTP API.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC
HTTP REST
WebSocket
.NET Client API
Supported programming languagesClojure
Java
Java
Lua
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
C#
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsnonono
TriggersBy using transaction functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersInternal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesUsing Apache Luceneyes
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 developmentyesno
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
DatomicEXASOLGoogle Cloud BigtableNSDbSTSdb
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