DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Databricks vs. IBM Db2 warehouse vs. Sphinx

System Properties Comparison Databricks vs. IBM Db2 warehouse vs. Sphinx

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Cloud-based data warehousing serviceOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Relational DBMS
Relational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score90.03
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score1.18
Rank#166  Overall
#75  Relational DBMS
Score5.88
Rank#56  Overall
#5  Search engines
Websitewww.databricks.comwww.ibm.com/­products/­db2/­warehousesphinxsearch.com
Technical documentationdocs.databricks.comsphinxsearch.com/­docs
DeveloperDatabricksIBMSphinx Technologies Inc.
Initial release201320142001
Current release3.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesno
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.yesno infoImport/export of XML data possible
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLwith Databricks SQLyesSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
Proprietary protocol
Supported programming languagesPython
R
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions and aggregatesPL/SQL, SQL PLno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
DatabricksIBM Db2 warehouse infoformerly named IBM dashDBSphinx
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DatabricksIBM Db2 warehouse infoformerly named IBM dashDBSphinx
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

show all

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

Databricks Acquires BladeBridge Technology and Talent to Accelerate Data Warehouse Migrations
4 February 2025, PR Newswire

Databricks acquires BladeBridge to aid data warehouse migrations
5 February 2025, InfoWorld

Databricks buys the AI-powered data migration startup BladeBridge
7 February 2025, SiliconANGLE News

Databricks closes $15.3B financing at $62B valuation, Meta joins as ‘strategic investor’
22 January 2025, TechCrunch

Meta backs Databricks as the data analytics startup inches toward IPO
22 January 2025, CNBC

provided by Google News

A major upgrade to Db2® Warehouse on IBM Cloud®
26 June 2024, ibm.com

The 10 Best Cloud Data Warehouse Solutions to Consider in 2025
1 January 2025, Solutions Review

The hidden history of Db2
28 December 2024, ibm.com

Top 7 Cloud Data Warehouse Companies
31 May 2023, Datamation

Introducing the next generation of Db2 Warehouse: Our cost-effective, cloud-native data warehouse built for always-on, mission-critical workloads
11 July 2023, ibm.com

provided by Google News

Manticore is on search for new investment and partners
9 December 2024, Blocks and Files

Manticore is a Faster Alternative to Elasticsearch in C++
25 July 2022, hackernoon.com

Switching From Sphinx to MkDocs Documentation – What Did I Gain and Lose
2 February 2024, Towards Data Science

Voice Recognition Tools Review. Alexa, PocketSphinx, Google API or Project Oxford?
1 March 2024, Netguru

10 Years of Building the Security Intelligence Graph: A Tech Retrospective
28 April 2020, Recorded Future

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Present your product here