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DBMS > Sphinx vs. TiDB vs. UniData,UniVerse vs. Vertica vs. WakandaDB

System Properties Comparison Sphinx vs. TiDB vs. UniData,UniVerse vs. Vertica vs. WakandaDB

Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonTiDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionOpen source search engine for searching in data from different sources, e.g. relational databasesTiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.MultiValue database and application server with SQL mapping layer and meta database capabilitiesCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelSearch engineRelational DBMSMultivalue DBMSRelational DBMS infoColumn orientedObject oriented DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.95
Rank#55  Overall
#5  Search engines
Score4.25
Rank#74  Overall
#40  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitesphinxsearch.compingcap.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidatawww.vertica.comwakanda.github.io
Technical documentationsphinxsearch.com/­docsdocs.pingcap.com/­tidb/­stabledocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidatavertica.com/­documentationwakanda.github.io/­doc
DeveloperSphinx Technologies Inc.PingCAP, Inc.Rocket SoftwareOpenText infopreviously Micro Focus and Hewlett PackardWakanda SAS
Initial release20012016198520052012
Current release3.5.1, February 20238.1.0, May 202412.0.3, January 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0commercialcommercial infoLimited community edition freeOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageC++Go, RustCC++C++, JavaScript
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.yes
Typing infopredefined data types such as float or datenoyesoptionalyesyes
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.nonono
Secondary indexesyes infofull-text index on all search fieldsyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL-like query language (SphinxQL)yesyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.no
APIs and other access methodsProprietary protocolGORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
RESTful HTTP API
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Basic infoU2 Basic
C
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
JavaScript
Server-side scripts infoStored proceduresnonoyesyes, PostgreSQL PL/pgSQL, with minor differencesyes
Triggersnonoyes infoU2 Basicyes, called Custom Alertsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning (by key range)nonehorizontal partitioning, hierarchical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith TiSpark Connectornono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infofull support since version 6.6noyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoconfigurableACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Sphinx index.yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoFine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system basedfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashyes
More information provided by the system vendor
SphinxTiDBUniData,UniVerseVertica infoOpenText™ Vertica™WakandaDB
Specific characteristicsTiDB is an advanced open-source, distributed SQL database for modern application...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantages- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosTiDB is ideal for transactional applications that require extreme scalability and...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersBlock, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metrics34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsTiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more
Cost-based models and subscription-based models are both available. One license is...
» more

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SphinxTiDBUniData,UniVerseVertica infoOpenText™ Vertica™WakandaDB
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