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DBMS > atoti vs. Dgraph vs. Kinetica

System Properties Comparison atoti vs. Dgraph vs. Kinetica

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDgraph  Xexclude from comparisonKinetica  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 DBMSFully vectorized database across both GPUs and CPUs
Primary database modelObject oriented DBMSGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Websiteatoti.iodgraph.iowww.kinetica.com
Technical documentationdocs.atoti.iodgraph.io/­docsdocs.kinetica.com
DeveloperActiveViamDgraph Labs, Inc.Kinetica
Initial release20162012
Current release7.1, August 2021
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 languageJavaGoC, C++
Server operating systemsLinux
OS X
Windows
Linux
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL-like DML and DDL statements
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPythonnouser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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 infoGPU vRAM or System RAM
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users and roles on table level

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More resources
atotiDgraphKinetica
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