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DBMS > DataFS vs. Ignite vs. SurrealDB

System Properties Comparison DataFS vs. Ignite vs. SurrealDB

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonIgnite  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelObject oriented DBMSKey-value store
Relational DBMS
Document store
Graph DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#362  Overall
#17  Object oriented DBMS
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score0.91
Rank#204  Overall
#33  Document stores
#18  Graph DBMS
Websitenewdatabase.comignite.apache.orgsurrealdb.com
Technical documentationdev.mobiland.com/­Overview.xspapacheignite.readme.io/­docssurrealdb.com/­docs
DeveloperMobiland AGApache Software FoundationSurrealDB Ltd
Initial release201820152022
Current release1.1.263, October 2022Apache Ignite 2.6v1.1.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetRust
Server operating systemsWindowsLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-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.noyes
Secondary indexesnoyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query language
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
GraphQL
RESTful HTTP API
WebSocket
Supported programming languages.Net
C
C#
C++
VB.Net
C#
C++
Java
PHP
Python
Ruby
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)
Triggersno, except callback-events from server when changes happenedyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
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 persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlWindows-ProfileSecurity Hooks for custom implementationsyes, based on authentication and database rules

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More resources
DataFSIgniteSurrealDB
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