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DBMS > BigchainDB vs. Microsoft Azure AI Search vs. RocksDB vs. Sphinx

System Properties Comparison BigchainDB vs. Microsoft Azure AI Search vs. RocksDB vs. Sphinx

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRocksDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsSearch-as-a-service for web and mobile app developmentEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeSearch engineKey-value storeSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#216  Overall
#36  Document stores
Score5.75
Rank#58  Overall
#7  Search engines
Score2.84
Rank#97  Overall
#16  Key-value stores
Score5.97
Rank#56  Overall
#5  Search engines
Websitewww.bigchaindb.comazure.microsoft.com/­en-us/­services/­searchrocksdb.orgsphinxsearch.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestlearn.microsoft.com/­en-us/­azure/­searchgithub.com/­facebook/­rocksdb/­wikisphinxsearch.com/­docs
DeveloperMicrosoftFacebook, Inc.Sphinx Technologies Inc.
Initial release2016201520132001
Current releaseV19.4.0, June 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoBSDOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++C++
Server operating systemsLinuxhostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnono
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 indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnononoSQL-like query language (SphinxQL)
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP APIC++ API
Java API
Proprietary protocol
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
Java
JavaScript
Python
C
C++
Go
Java
Perl
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoImplicit feature of the cloud serviceyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes 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 controlyesyes infousing Azure authenticationnono

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More resources
BigchainDBMicrosoft Azure AI SearchRocksDBSphinx
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