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DBMS > etcd vs. Ignite vs. searchxml vs. Splice Machine

System Properties Comparison etcd vs. Ignite vs. searchxml vs. Splice Machine

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonIgnite  Xexclude from comparisonsearchxml  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA distributed reliable key-value storeApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.DBMS for structured and unstructured content wrapped with an application serverOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeKey-value store
Relational DBMS
Native XML DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.64
Rank#54  Overall
#5  Key-value stores
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score0.01
Rank#386  Overall
#7  Native XML DBMS
#24  Search engines
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
ignite.apache.orgwww.searchxml.net/­category/­productssplicemachine.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
apacheignite.readme.io/­docswww.searchxml.net/­support/­handoutssplicemachine.com/­how-it-works
DeveloperApache Software Foundationinformationpartners gmbhSplice Machine
Initial release201520152014
Current release3.4, August 2019Apache Ignite 2.61.03.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, Java, .NetC++Java
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Solaris
Windows
WindowsLinux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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.noyesyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsgRPC
JSON over HTTP
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
Native Spark Datasource
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
C++ infomost other programming languages supported via APIsC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infoon the application serveryes infoJava
Triggersyes, watching key changesyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
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 infosychronisation to multiple collectionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDmultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsDomain, group and role-based access control at the document level and for application servicesAccess rights for users, groups and roles according to SQL-standard

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More resources
etcdIgnitesearchxmlSplice Machine
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