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DBMS > Datomic vs. Netezza vs. SurrealDB

System Properties Comparison Datomic vs. Netezza vs. SurrealDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityData warehouse and analytics appliance part of IBM PureSystemsA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.datomic.comwww.ibm.com/­products/­netezzasurrealdb.com
Technical documentationdocs.datomic.comsurrealdb.com/­docs
DeveloperCognitectIBMSurrealDB Ltd
Initial release201220002022
Current release1.0.7075, December 2023v1.5.0, May 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureRust
Server operating systemsAll OS with a Java VMLinux infoincluded in applianceLinux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLnoyesSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
OLE DB
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesClojure
Java
C
C++
Fortran
Java
Lua
Perl
Python
R
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes
TriggersBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
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 development
User concepts infoAccess controlnoUsers with fine-grained authorization conceptyes, based on authentication and database rules

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More resources
DatomicNetezza infoAlso called PureData System for Analytics by IBMSurrealDB
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