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DBMS > Interbase vs. Solr vs. Sphinx vs. YugabyteDB

System Properties Comparison Interbase vs. Solr vs. Sphinx vs. YugabyteDB

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Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionLight-weight proven RDBMS infooriginally from BorlandA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databasesHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSSearch engineSearch engineRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitewww.embarcadero.com/­products/­interbasesolr.apache.orgsphinxsearch.comwww.yugabyte.com
Technical documentationdocs.embarcadero.com/­products/­interbasesolr.apache.org/­resources.htmlsphinxsearch.com/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperEmbarcaderoApache Software FoundationSphinx Technologies Inc.Yugabyte Inc.
Initial release1984200620012017
Current releaseInterBase 2020, December 20199.6.0, April 20243.5.1, February 20232.19, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageCJavaC++C and C++
Server operating systemsAndroid
iOS
Linux
OS X
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
Linux
OS X
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesdepending on used data model
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingnoyes
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 possibleyesno
Secondary indexesyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)yes, PostgreSQL compatible
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Proprietary protocolJDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.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
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languageJava pluginsnoyes infosql, plpgsql, C
Triggersyesyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change ViewsyesnoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingnoDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnoyes
More information provided by the system vendor
InterbaseSolrSphinxYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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InterbaseSolrSphinxYugabyteDB
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