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DBMS > atoti vs. Dgraph vs. GBase vs. IRONdb

System Properties Comparison atoti vs. Dgraph vs. GBase vs. IRONdb

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDgraph  Xexclude from comparisonGBase  Xexclude from comparisonIRONdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Distributed and scalable native Graph DBMSWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelObject oriented DBMSGraph DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score1.39
Rank#155  Overall
#15  Graph DBMS
Score1.11
Rank#173  Overall
#78  Relational DBMS
Websiteatoti.iodgraph.iowww.gbase.cnwww.circonus.com/solutions/time-series-database/
Technical documentationdocs.atoti.iodgraph.io/­docsdocs.circonus.com/irondb/category/getting-started
DeveloperActiveViamDgraph Labs, Inc.General Data Technology Co., Ltd.Circonus LLC.
Initial release201620042017
Current releaseGBase 8a, GBase 8s, GBase 8cV0.10.20, January 2018
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0commercialcommercial
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 languageJavaGoC, Java, PythonC and C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histograms
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.noyesno
Secondary indexesyesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)noStandard with numerous extensionsSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
C API
JDBC
ODBC
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresPythonnouser defined functionsyes, in Lua
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyeshorizontal partitioning (by range, list and hash) and vertical partitioningAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyesconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesno
User concepts infoAccess controlno infoPlanned for future releasesyesno

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More resources
atotiDgraphGBaseIRONdb
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