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DBMS > Interbase vs. LevelDB vs. Microsoft Azure Table Storage vs. Prometheus vs. Solr

System Properties Comparison Interbase vs. LevelDB vs. Microsoft Azure Table Storage vs. Prometheus vs. Solr

Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPrometheus  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionLight-weight proven RDBMS infooriginally from BorlandEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA Wide Column Store for rapid development using massive semi-structured datasetsOpen-source Time Series DBMS and monitoring systemA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSKey-value storeWide column storeTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.embarcadero.com/­products/­interbasegithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­storage/­tablesprometheus.iosolr.apache.org
Technical documentationdocs.embarcadero.com/­products/­interbasegithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdprometheus.io/­docssolr.apache.org/­resources.html
DeveloperEmbarcaderoGoogleMicrosoftApache Software Foundation
Initial release19842011201220152006
Current releaseInterBase 2020, December 20191.23, February 20219.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialOpen Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++GoJava
Server operating systemsAndroid
iOS
Linux
OS X
Windows
Illumos
Linux
OS X
Windows
hostedLinux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesnoyesNumeric 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.no infoexport as XML data possiblenonono infoImport of XML data possibleyes
Secondary indexesyesnononoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnononoSolr Parallel SQL Interface
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIRESTful HTTP/JSON APIJava API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
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 proceduresyes infoInterbase procedure and trigger languagenononoJava plugins
Triggersyesnononoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights based on private key authentication or shared access signaturesnoyes

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InterbaseLevelDBMicrosoft Azure Table StoragePrometheusSolr
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