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DBMS > BigchainDB vs. GeoMesa vs. Microsoft Azure AI Search vs. Riak KV vs. Snowflake

System Properties Comparison BigchainDB vs. GeoMesa vs. Microsoft Azure AI Search vs. Riak KV vs. Snowflake

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRiak KV  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Search-as-a-service for web and mobile app developmentDistributed, fault tolerant key-value storeCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument storeSpatial DBMSSearch engineKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score4.10
Rank#82  Overall
#9  Key-value stores
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitewww.bigchaindb.comwww.geomesa.orgazure.microsoft.com/­en-us/­services/­searchwww.snowflake.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-us/­azure/­searchwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.snowflake.net/­manuals/­index.html
DeveloperCCRi and othersMicrosoftOpenSource, formerly Basho TechnologiesSnowflake Computing Inc.
Initial release20162014201520092014
Current release4.0.5, February 2024V13.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache License 2.0commercialOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonScalaErlang
Server operating systemsLinuxhostedLinux
OS X
hosted
Data schemeschema-freeyesyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or datenoyesyesnoyes
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.nonononoyes
Secondary indexesyesyesrestricted
SQL infoSupport of SQLnonononoyes
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP APIHTTP API
Native Erlang Interface
CLI Client
JDBC
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
Java
JavaScript
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoErlanguser defined functions
Triggersnonoyes infopre-commit hooks and post-commit hooksno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerSharding infoImplicit feature of the cloud serviceSharding infono "single point of failure"yes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factordepending on storage layeryes infoImplicit feature of the cloud serviceselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernono
User concepts infoAccess controlyesyes infodepending on the DBMS used for storageyes infousing Azure authenticationyes, using Riak SecurityUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
BigchainDBGeoMesaMicrosoft Azure AI SearchRiak KVSnowflake
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