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DBMS > BoltDB vs. Graph Engine vs. Spark SQL vs. YDB

System Properties Comparison BoltDB vs. Graph Engine vs. Spark SQL vs. YDB

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSpark SQL  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineSpark SQL is a component on top of 'Spark Core' for structured data processingA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelKey-value storeGraph DBMS
Key-value store
Relational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.graphengine.iospark.apache.org/­sqlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.graphengine.io/­docs/­manualspark.apache.org/­docs/­latest/­sql-programming-guide.htmlydb.tech/­en/­docs
DeveloperMicrosoftApache Software FoundationYandex
Initial release2013201020142019
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGo.NET and CScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
.NETLinux
OS X
Windows
Linux
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyesyesyes
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.nononono
Secondary indexesnonoyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language (YQL)
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesGoC#
C++
F#
Visual Basic
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnonoAccess rights defined for Yandex Cloud users

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More resources
BoltDBGraph Engine infoformer name: TrinitySpark SQLYDB
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