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DBMS > etcd vs. FeatureBase vs. GridGain

System Properties Comparison etcd vs. FeatureBase vs. GridGain

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFeatureBase  Xexclude from comparisonGridGain  Xexclude from comparison
DescriptionA distributed reliable key-value storeReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.GridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelKey-value storeRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.05
Rank#53  Overall
#5  Key-value stores
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.featurebase.comwww.gridgain.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.featurebase.comwww.gridgain.com/­docs/­index.html
DeveloperMolecula and Pilosa Open Source ContributorsGridGain Systems, Inc.
Initial release20172007
Current release3.4, August 20192022, May 2022GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial, open source
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 languageGoGoJava, C++, .Net, Python, REST, SQL
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
macOS
Linux
OS X
Solaris
Windows
z/OS
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.nonoyes
Secondary indexesnonoyes
SQL infoSupport of SQLnoSQL queriesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsgRPC
JSON over HTTP
gRPC
JDBC
Kafka Connector
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)
Triggersyes, watching key changesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoRole-based access control
Security Hooks for custom implementations

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etcdFeatureBaseGridGain
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