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DBMS > etcd vs. GridGain vs. HugeGraph vs. IBM Db2 vs. SAP SQL Anywhere

System Properties Comparison etcd vs. GridGain vs. HugeGraph vs. IBM Db2 vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionA distributed reliable key-value storeGridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMSCommon in IBM host environments, 2 different versions for host and Windows/LinuxRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelKey-value storeKey-value store
Relational DBMS
Graph DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­db2www.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docswww.ibm.com/­docs/­en/­db2help.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperGridGain Systems, Inc.BaiduIBMSAP infoformerly Sybase
Initial release200720181983 infohost version1992
Current release3.4, August 2019GridGain 8.5.10.912.1, October 201617, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercial infofree version is 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 languageGoJava, C++, .NetJavaC and C++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Solaris
Windows
Linux
macOS
Unix
AIX
HP-UX
Linux
Solaris
Windows
z/OS
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.noyesnoyes
Secondary indexesnoyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyesyes
APIs and other access methodsgRPC
JSON over HTTP
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsyesyes, in C/C++, Java, .Net or Perl
Triggersyes, watching key changesyes (cache interceptors and events)noyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoonly with Windows/Unix/Linux Versionnone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBaseyes infowith separate tools (MQ, InfoSphere)Source-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)via hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsUsers, roles and permissionsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
etcdGridGainHugeGraphIBM Db2 infoformerly named DB2 or IBM Database 2SAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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