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DBMS > etcd vs. GridGain vs. KeyDB vs. Microsoft Access

System Properties Comparison etcd vs. GridGain vs. KeyDB vs. Microsoft Access

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGridGain  Xexclude from comparisonKeyDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionA distributed reliable key-value storeGridGain is an in-memory computing platform, built on Apache IgniteAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelKey-value storeKey-value store
Relational DBMS
Key-value storeRelational DBMS
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
Score0.71
Rank#226  Overall
#33  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.gridgain.comgithub.com/­Snapchat/­KeyDB
keydb.dev
www.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.gridgain.com/­docs/­index.htmldocs.keydb.devdeveloper.microsoft.com/­en-us/­access
DeveloperGridGain Systems, Inc.EQ Alpha Technology Ltd.Microsoft
Initial release200720191992
Current release3.4, August 2019GridGain 8.5.11902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSD-3commercial infoBundled with Microsoft Office
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 languageGoJava, C++, .NetC++C++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Solaris
Windows
LinuxWindows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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 indexesnoyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyes infobut not compliant to any SQL standard
APIs and other access methodsgRPC
JSON over HTTP
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
DAO
ODBC
OLE DB
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
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)Luayes infosince Access 2010 using the ACE-engine
Triggersyes, watching key changesyes (cache interceptors and events)noyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
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)Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDOptimistic locking, atomic execution of commands blocks and scriptsACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationssimple password-based access control and ACLno infoa simple user-level security was built in till version Access 2003

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More resources
etcdGridGainKeyDBMicrosoft Access
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