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DBMS > EsgynDB vs. Microsoft Azure AI Search vs. Oracle Berkeley DB vs. RRDtool

System Properties Comparison EsgynDB vs. Microsoft Azure AI Search vs. Oracle Berkeley DB vs. RRDtool

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSearch-as-a-service for web and mobile app developmentWidely 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.
Primary database modelRelational DBMSSearch engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Websitewww.esgyn.cnazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmloss.oetiker.ch/­rrdtool
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.oracle.com/­cd/­E17076_05/­html/­index.htmloss.oetiker.ch/­rrdtool/­doc
DeveloperEsgynMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleTobias Oetiker
Initial release2015201519941999
Current releaseV118.1.40, May 20201.8.0, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license availableOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenoyesnono
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# available
Server operating systemsLinuxhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
HP-UX
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoNumeric data only
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 infoonly with the Berkeley DB XML editionno infoExporting into and restoring from XML files possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesnoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIin-process shared library
Pipes
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
Java
JavaScript
Python
.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
Server-side scripts infoStored proceduresJava Stored Proceduresnonono
Triggersnonoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infoImplicit feature of the cloud serviceSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemon
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.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationnono

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More resources
EsgynDBMicrosoft Azure AI SearchOracle Berkeley DBRRDtool
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