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DBMS > FeatureBase vs. Microsoft Azure Cosmos DB vs. Oracle vs. Solr vs. TimescaleDB

System Properties Comparison FeatureBase vs. Microsoft Azure Cosmos DB vs. Oracle vs. Solr vs. TimescaleDB

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonOracle  Xexclude from comparisonSolr  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Globally distributed, horizontally scalable, multi-model database serviceWidely used RDBMSA widely used distributed, scalable search engine based on Apache LuceneA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitewww.featurebase.comazure.microsoft.com/­services/­cosmos-dbwww.oracle.com/­databasesolr.apache.orgwww.timescale.com
Technical documentationdocs.featurebase.comlearn.microsoft.com/­azure/­cosmos-dbdocs.oracle.com/­en/­databasesolr.apache.org/­resources.htmldocs.timescale.com
DeveloperMolecula and Pilosa Open Source ContributorsMicrosoftOracleApache Software FoundationTimescale
Initial release20172014198020062017
Current release2022, May 202223c, September 20239.6.1, May 20242.15.0, May 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++JavaC
Server operating systemsLinux
macOS
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeyesschema-freeyes infoSchemaless in JSON and XML columnsyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes infoJSON typesyesyes infosupports customizable data types and automatic typingnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyesyesyes
Secondary indexesnoyes infoAll properties auto-indexed by defaultyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL queriesSQL-like query languageyes infowith proprietary extensionsSolr Parallel SQL Interfaceyes infofull PostgreSQL SQL syntax
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJavaScriptPL/SQL infoalso stored procedures in Java possibleJava pluginsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersnoJavaScriptyesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
yesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no infocan be realized in PL/SQLspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesMulti-item ACID transactions with snapshot isolation within a partitionACID infoisolation level can be parameterizedoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yesno
User concepts infoAccess controlAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
FeatureBaseMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBOracleSolrTimescaleDB
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