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DBMS > Databend vs. Datastax Enterprise vs. FoundationDB vs. Microsoft Azure AI Search vs. Sphinx

System Properties Comparison Databend vs. Datastax Enterprise vs. FoundationDB vs. Microsoft Azure AI Search vs. Sphinx

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonFoundationDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Ordered key-value store. Core features are complimented by layers.Search-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSWide column storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Search engineSearch engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score4.82
Rank#65  Overall
#4  Wide column stores
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score5.97
Rank#56  Overall
#5  Search engines
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.datastax.com/­products/­datastax-enterprisegithub.com/­apple/­foundationdbazure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationdocs.databend.comdocs.datastax.comapple.github.io/­foundationdblearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperDatabend LabsDataStaxFoundationDBMicrosoftSphinx Technologies Inc.
Initial release20212011201320152001
Current release1.0.59, April 20236.8, April 20206.2.28, November 2020V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageRustJavaC++C++
Server operating systemshosted
Linux
macOS
Linux
OS X
Linux
OS X
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyesno
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 indexesnoyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL); Spark SQLsupported in specific SQL layer onlynoSQL-like query language (SphinxQL)
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP APIProprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoin SQL-layer onlynono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"ShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingyesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Linearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynonoin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoAtomicity and isolation are supported for single operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users can be defined per objectnoyes infousing Azure authenticationno
More information provided by the system vendor
DatabendDatastax EnterpriseFoundationDBMicrosoft Azure AI SearchSphinx
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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DatabendDatastax EnterpriseFoundationDBMicrosoft Azure AI SearchSphinx
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