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DBMS > BoltDB vs. HEAVY.AI vs. Microsoft Azure AI Search vs. Trafodion vs. XTDB

System Properties Comparison BoltDB vs. HEAVY.AI vs. Microsoft Azure AI Search vs. Trafodion vs. XTDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTrafodion  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embedded key-value store for Go.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareSearch-as-a-service for web and mobile app developmentTransactional SQL-on-Hadoop DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value storeRelational DBMSSearch engineRelational DBMSDocument store
Secondary database modelsSpatial DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.18
Rank#332  Overall
#46  Document stores
Websitegithub.com/­boltdb/­boltgithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­en-us/­services/­searchtrafodion.apache.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.heavy.ailearn.microsoft.com/­en-us/­azure/­searchtrafodion.apache.org/­documentation.htmlwww.xtdb.com/­docs
DeveloperHEAVY.AI, Inc.MicrosoftApache Software Foundation, originally developed by HPJuxt Ltd.
Initial release20132016201520142019
Current release5.10, January 2022V12.3.0, February 20191.19, September 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoApache 2.0Open Source infoMIT License
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 languageGoC++ and CUDAC++, JavaClojure
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxhostedLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes, extensible-data-notation format
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.nonononono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnoyesnoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
Thrift
Vega
RESTful HTTP APIADO.NET
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesGoAll languages supporting JDBC/ODBC/Thrift
Python
C#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/ADO.NetClojure
Java
Server-side scripts infoStored proceduresnononoJava Stored Proceduresno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes infoImplicit feature of the cloud serviceyes, via HBaseyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
BoltDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure AI SearchTrafodionXTDB infoformerly named Crux
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