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DBMS > EsgynDB vs. Oracle Berkeley DB vs. RRDtool vs. Solr

System Properties Comparison EsgynDB vs. Oracle Berkeley DB vs. RRDtool vs. Solr

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRRDtool  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWidely used in-process key-value storeIndustry 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.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Websitewww.esgyn.cnwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmloss.oetiker.ch/­rrdtoolsolr.apache.org
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmloss.oetiker.ch/­rrdtool/­docsolr.apache.org/­resources.html
DeveloperEsgynOracle infooriginally developed by Sleepycat, which was acquired by OracleTobias OetikerApache Software Foundation
Initial release2015199419992006
Current release18.1.40, May 20201.8.0, 20229.5.0, February 2024
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availableOpen Source infoGPL V2 and FLOSSOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC, Java, C++ (depending on the Berkeley DB edition)C infoImplementations in Java (e.g. RRD4J) and C# availableJava
Server operating systemsLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
HP-UX
Linux
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesnoNumeric data onlyyes 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.noyes infoonly with the Berkeley DB XML editionno infoExporting into and restoring from XML files possibleyes
Secondary indexesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesyes infoSQL interfaced based on SQLite is availablenoSolr Parallel SQL Interface
APIs and other access methodsADO.NET
JDBC
ODBC
in-process shared library
Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
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
.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 ProceduresnonoJava plugins
Triggersnoyes infoonly for the SQL APInoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoby using the rrdcached daemonyes
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.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoyes

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EsgynDBOracle Berkeley DBRRDtoolSolr
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