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DBMS > Dgraph vs. EsgynDB vs. Geode vs. IBM Db2 Event Store vs. IRONdb

System Properties Comparison Dgraph vs. EsgynDB vs. Geode vs. IBM Db2 Event Store vs. IRONdb

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonIRONdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesDistributed Event Store optimized for Internet of Things use casesA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelGraph DBMSRelational DBMSKey-value storeEvent Store
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Websitedgraph.iowww.esgyn.cngeode.apache.orgwww.ibm.com/­products/­db2-event-storewww.circonus.com/solutions/time-series-database/
Technical documentationdgraph.io/­docsgeode.apache.org/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.circonus.com/irondb/category/getting-started
DeveloperDgraph Labs, Inc.EsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.IBMCirconus LLC.
Initial release20162015200220172017
Current release1.1, February 20172.0V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaJavaC and C++C and C++
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux infoLinux, macOS, Windows for the developer additionLinux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes 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.nonononono
Secondary indexesyesyesnonono
SQL infoSupport of SQLnoyesSQL-like query language (OQL)yes infothrough the embedded Spark runtimeSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.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 proceduresnoJava Stored Proceduresuser defined functionsyesyes, in Lua
Triggersnonoyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersMulti-source replicationActive-active shard replicationconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights per client and object definablefine grained access rights according to SQL-standardno

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More resources
DgraphEsgynDBGeodeIBM Db2 Event StoreIRONdb
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