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DBMS > Informix vs. Splice Machine vs. SQL.JS vs. SurrealDB

System Properties Comparison Informix vs. Splice Machine vs. SQL.JS vs. SurrealDB

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Editorial information provided by DB-Engines
NameInformix  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQL.JS  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkPort of SQLite to JavaScriptA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMSRelational DBMSDocument store
Graph DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websitewww.ibm.com/­products/­informixsplicemachine.comsql.js.orgsurrealdb.com
Technical documentationinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
splicemachine.com/­how-it-workssql.js.org/­documentation/­index.htmlsurrealdb.com/­docs
DeveloperIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Splice MachineAlon Zakai infoenhancements implemented by othersSurrealDB Ltd
Initial release1984201420122022
Current release14.10.FC5, November 20203.1, March 2021v1.5.0, May 2024
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoAGPL 3.0, commercial license availableOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and JavaJavaJavaScriptRust
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infoSince Version 12.10 support for JSON/BSON datatypesyesyesyes
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 SQLyesyesyes infoSQL-92 is not fully supportedSQL-like query language
APIs and other access methodsJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
JavaScript APIGraphQL
RESTful HTTP API
WebSocket
Supported programming languages.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScriptDeno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyesyes infoJavano
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlUsers with fine-grained authentication, authorization, and auditing controlsAccess rights for users, groups and roles according to SQL-standardnoyes, based on authentication and database rules

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More resources
InformixSplice MachineSQL.JSSurrealDB
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