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DBMS > EsgynDB vs. Graphite vs. Greenplum vs. Microsoft Azure Table Storage vs. Solr

System Properties Comparison EsgynDB vs. Graphite vs. Greenplum vs. Microsoft Azure Table Storage vs. Solr

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGraphite  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A Wide Column Store for rapid development using massive semi-structured datasetsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSTime Series DBMSRelational DBMSWide column storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.esgyn.cngithub.com/­graphite-project/­graphite-webgreenplum.orgazure.microsoft.com/­en-us/­services/­storage/­tablessolr.apache.org
Technical documentationgraphite.readthedocs.iodocs.greenplum.orgsolr.apache.org/­resources.html
DeveloperEsgynChris DavisPivotal Software Inc.MicrosoftApache Software Foundation
Initial release20152006200520122006
Current release7.0.0, September 20239.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaPythonJava
Server operating systemsLinuxLinux
Unix
LinuxhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyesyes infosupports customizable data types and automatic typing
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 infosince Version 4.2noyes
Secondary indexesyesnoyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnoyesnoSolr Parallel SQL Interface
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP API
Sockets
JDBC
ODBC
RESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJavaScript (Node.js)
Python
C
Java
Perl
Python
R
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava Stored ProceduresnoyesnoJava plugins
Triggersnonoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnoneSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic lockingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesyes

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More resources
EsgynDBGraphiteGreenplumMicrosoft Azure Table StorageSolr
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