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DBMS > atoti vs. Dolt vs. Sequoiadb vs. Spark SQL vs. YDB

System Properties Comparison atoti vs. Dolt vs. Sequoiadb vs. Spark SQL vs. YDB

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonDolt  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A MySQL compatible DBMS with Git-like versioning of data and schemaNewSQL database with distributed OLTP and SQLSpark 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 modelObject oriented DBMSRelational DBMSDocument store
Relational DBMS
Relational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteatoti.iogithub.com/­dolthub/­dolt
www.dolthub.com
www.sequoiadb.comspark.apache.org/­sqlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.atoti.iodocs.dolthub.comwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.htmlydb.tech/­en/­docs
DeveloperActiveViamDoltHub IncSequoiadb Ltd.Apache Software FoundationYandex
Initial release2018201320142019
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0Open Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++Scala
Server operating systemsLinux
macOS
Windows
LinuxLinux
OS X
Windows
Linux
Data schemeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes infooid, date, timestamp, binary, regexyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesSQL-like query languageSQL-like DML and DDL statementsSQL-like query language (YQL)
APIs and other access methodsCLI Client
HTTP REST
proprietary protocol using JSONJDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresPythonyes infocurrently in alpha releaseJavaScriptnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Source-replica replicationnoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDDocument is locked during a transactionnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupsimple password-based access controlnoAccess rights defined for Yandex Cloud users

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More resources
atotiDoltSequoiadbSpark SQLYDB
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