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DBMS > BoltDB vs. Google Search Appliance vs. Microsoft Azure Data Explorer vs. Postgres-XL vs. RocksDB

System Properties Comparison BoltDB vs. Google Search Appliance vs. Microsoft Azure Data Explorer vs. Postgres-XL vs. RocksDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.The Google Search Appliance consists of hardware and software for indexing documents in local networks.Fully managed big data interactive analytics platformBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeSearch engineRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.48
Rank#212  Overall
#35  Key-value stores
Score2.81
Rank#91  Overall
#10  Search engines
Score2.33
Rank#104  Overall
#50  Relational DBMS
Score0.48
Rank#211  Overall
#101  Relational DBMS
Score2.61
Rank#97  Overall
#18  Key-value stores
Websitegithub.com/­boltdb/­boltenterprise.google.com/­search/­products/­gsa.htmlazure.microsoft.com/­services/­data-explorerwww.postgres-xl.orgrocksdb.org
Technical documentationsupport.google.com/­gsadocs.microsoft.com/­en-us/­azure/­data-explorerwww.postgres-xl.org/­documentationgithub.com/­facebook/­rocksdb/­wiki
DeveloperGoogleMicrosoftFacebook, Inc.
Initial release2013200220192014 infosince 2012, originally named StormDB2013
Current release10 R1, October 20186.5.2, November 2019
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialcommercialOpen Source infoMozilla public licenseOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nonoyesyes infoXML type, but no XML query functionalityno
Secondary indexesnoyesno
SQL infoSupport of SQLnonoKusto Query Language (KQL), SQL subsetyes infodistributed, parallel query executionno
APIs and other access methodsAdministrative API
Browser interface
HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Supported programming languagesGo.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Server-side scripts infoStored proceduresnoYes. Languages: KQL, Python, Ruser defined functionsno
TriggersnoTable-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.yesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-slave replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infoMVCCyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononoyes
User concepts infoAccess controlnoUser authentication via various security protocolsAzure Active Directory Authenticationfine grained access rights according to SQL-standardno

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More resources
BoltDBGoogle Search ApplianceMicrosoft Azure Data ExplorerPostgres-XLRocksDB
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