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DBMS > atoti vs. Dgraph vs. GridGain

System Properties Comparison atoti vs. Dgraph vs. GridGain

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDgraph  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Distributed and scalable native Graph DBMSGridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelObject oriented DBMSGraph DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Websiteatoti.iodgraph.iowww.gridgain.com
Technical documentationdocs.atoti.iodgraph.io/­docswww.gridgain.com/­docs/­index.html
DeveloperActiveViamDgraph Labs, Inc.GridGain Systems, Inc.
Initial release20162007
Current releaseGridGain 8.5.1
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0commercial
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 languageJavaGoJava, C++, .Net
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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 DDL
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresPythonnoyes (compute grid and cache interceptors can be used instead)
Triggersnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlno infoPlanned for future releasesSecurity Hooks for custom implementations

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More resources
atotiDgraphGridGain
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