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DBMS > BoltDB vs. Microsoft Azure Data Explorer vs. RocksDB

System Properties Comparison BoltDB vs. Microsoft Azure Data Explorer vs. RocksDB

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Fully managed big data interactive analytics platformEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#209  Overall
#37  Key-value stores
Score1.51
Rank#120  Overall
#62  Relational DBMS
Score2.16
Rank#104  Overall
#19  Key-value stores
Websitegithub.com/­boltdb/­boltazure.microsoft.com/­services/­data-explorerrocksdb.org
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorergithub.com/­facebook/­rocksdb/­wiki
DeveloperMicrosoftFacebook, Inc.
Initial release201320192013
Current release6.2.2, August 2019
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesno
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.noyesno
Secondary indexesnono
SQL infoSupport of SQLnoKusto Query Language (KQL), SQL subsetno
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
C++ API
Java API
Supported programming languagesGo.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Java
Server-side scripts infoStored proceduresnoYes. Languages: KQL, Python, Rno
TriggersnoTable-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.no
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoAzure Active Directory Authenticationno

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More resources
BoltDBMicrosoft Azure Data ExplorerRocksDB
Recent citations in the news

New reports unveils more details about Key-Value Stores Market by 2025 with Top Key Players like PulteHomes, Horton, Lennar, Evergrande, Vanke, Country Garden, Poly, SUNAC, LongFor, Greenland, R&F, CFLD, CR Land, Green Town, Agile and Goodman
9 September 2019, Indian Columnist

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