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DBMS > atoti vs. Graph Engine vs. Ignite vs. Splice Machine

System Properties Comparison atoti vs. Graph Engine vs. Ignite vs. Splice Machine

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonIgnite  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelObject oriented DBMSGraph DBMS
Key-value store
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteatoti.iowww.graphengine.ioignite.apache.orgsplicemachine.com
Technical documentationdocs.atoti.iowww.graphengine.io/­docs/­manualapacheignite.readme.io/­docssplicemachine.com/­how-it-works
DeveloperActiveViamMicrosoftApache Software FoundationSplice Machine
Initial release201020152014
Current releaseApache Ignite 2.63.1, March 2021
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
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 languageJava.NET and CC++, Java, .NetJava
Server operating systems.NETLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
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 indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
F#
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresPythonyesyes (compute grid and cache interceptors can be used instead)yes infoJava
Triggersnoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioningShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)Yes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users, groups and roles according to SQL-standard

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More resources
atotiGraph Engine infoformer name: TrinityIgniteSplice Machine
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