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DBMS > FeatureBase vs. Google Cloud Bigtable vs. Manticore Search vs. Solr vs. Sphinx

System Properties Comparison FeatureBase vs. Google Cloud Bigtable vs. Manticore Search vs. Solr vs. Sphinx

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonManticore Search  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Multi-storage database for search, including full-text search.A widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value store
Wide column store
Search engineSearch engineSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibrarySpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.22
Rank#312  Overall
#21  Search engines
Score42.91
Rank#24  Overall
#3  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.featurebase.comcloud.google.com/­bigtablemanticoresearch.comsolr.apache.orgsphinxsearch.com
Technical documentationdocs.featurebase.comcloud.google.com/­bigtable/­docsmanual.manticoresearch.comsolr.apache.org/­resources.htmlsphinxsearch.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsGoogleManticore SoftwareApache Software FoundationSphinx Technologies Inc.
Initial release20172015201720062001
Current release2022, May 20226.0, February 20239.6.0, April 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open Source infoApache Version 2Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++JavaC++
Server operating systemsLinux
macOS
hostedFreeBSD
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeFixed schemayes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesnoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infosupports customizable data types and automatic typingno
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.nonoCan index from XMLyes
Secondary indexesnonoyes infofull-text index on all search fieldsyes infoAll search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLSQL queriesnoSQL-like query languageSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Java API
RESTful HTTP/JSON API
Proprietary protocol
Supported programming languagesJava
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnouser defined functionsJava pluginsno
Triggersnononoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesInternal replication in Colossus, and regional replication between two clusters in different zonesSynchronous replication based on Galera libraryyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic single-row operationsyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyesno

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More resources
FeatureBaseGoogle Cloud BigtableManticore SearchSolrSphinx
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