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DBMS > Hive vs. Ignite vs. Postgres-XL vs. RRDtool vs. searchxml

System Properties Comparison Hive vs. Ignite vs. Postgres-XL vs. RRDtool vs. searchxml

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIgnite  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRRDtool  Xexclude from comparisonsearchxml  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.DBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMSNative XML DBMS
Search engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitehive.apache.orgignite.apache.orgwww.postgres-xl.orgoss.oetiker.ch/­rrdtoolwww.searchxml.net/­category/­products
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docswww.postgres-xl.org/­documentationoss.oetiker.ch/­rrdtool/­docwww.searchxml.net/­support/­handouts
DeveloperApache Software Foundation infoinitially developed by FacebookApache Software FoundationTobias Oetikerinformationpartners gmbh
Initial release201220152014 infosince 2012, originally named StormDB19992015
Current release3.1.3, April 2022Apache Ignite 2.610 R1, October 20181.8.0, 20221.0
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoMozilla public licenseOpen Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetCC infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
macOS
HP-UX
Linux
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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.yesyes infoXML type, but no XML query functionalityno infoExporting into and restoring from XML files possibleyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLyes infodistributed, parallel query executionnono
APIs and other access methodsJDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
in-process shared library
Pipes
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)user defined functionsnoyes infoon the application server
Triggersnoyes (cache interceptors and events)yesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)noneyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCCnomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes
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.yesnoyesno
User concepts infoAccess controlAccess rights for users, groups and rolesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardnoDomain, group and role-based access control at the document level and for application services

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HiveIgnitePostgres-XLRRDtoolsearchxml
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