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DBMS > BoltDB vs. Databend vs. Microsoft Azure AI Search vs. Microsoft Azure Cosmos DB vs. Sphinx

System Properties Comparison BoltDB vs. Databend vs. Microsoft Azure AI Search vs. Microsoft Azure Cosmos DB vs. Sphinx

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatabend  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn embedded key-value store for Go.An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitySearch-as-a-service for web and mobile app developmentGlobally distributed, horizontally scalable, multi-model database serviceOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeRelational DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Search engine
Secondary database modelsVector DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­boltdb/­boltgithub.com/­datafuselabs/­databend
www.databend.com
azure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­cosmos-dbsphinxsearch.com
Technical documentationdocs.databend.comlearn.microsoft.com/­en-us/­azure/­searchlearn.microsoft.com/­azure/­cosmos-dbsphinxsearch.com/­docs
DeveloperDatabend LabsMicrosoftMicrosoftSphinx Technologies Inc.
Initial release20132021201520142001
Current release1.0.59, April 2023V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoRustC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hosted
Linux
macOS
hostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes infoJSON typesno
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 indexesnonoyesyes infoAll properties auto-indexed by defaultyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesnoSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
RESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Proprietary protocol
Supported programming languagesGoGo
Java
JavaScript (Node.js)
Python
Rust
C#
Java
JavaScript
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnononoJavaScriptno
TriggersnononoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud serviceSharding 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 nodesnonenoneyes infoImplicit feature of the cloud serviceyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesnoMulti-item ACID transactions with snapshot isolation within a partitionno
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.nono
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user rolesyes infousing Azure authenticationAccess rights can be defined down to the item levelno

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More resources
BoltDBDatabendMicrosoft Azure AI SearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSphinx
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