DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > 4D vs. Altibase vs. Atos Standard Common Repository vs. Spark SQL vs. YDB

System Properties Comparison 4D vs. Altibase vs. Atos Standard Common Repository vs. Spark SQL vs. YDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAltibase  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonSpark SQL  Xexclude from comparisonYDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemAn enterprise grade, high-performance RDBMSHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpark 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 modelRelational DBMSRelational DBMSDocument store
Key-value store
Relational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score1.00
Rank#194  Overall
#91  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.34
Rank#285  Overall
#43  Document stores
#130  Relational DBMS
Websitewww.4d.comaltibase.comatos.net/en/convergence-creators/portfolio/standard-common-repositoryspark.apache.org/­sqlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdeveloper.4d.comgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlydb.tech/­en/­docs
Developer4D, IncAltibaseAtos Convergence CreatorsApache Software FoundationYandex
Initial release19841999201620142019
Current releasev20, April 2023v7.3, 2023, August 202317033.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infoOpen source edition discontinued with March 2023commercialOpen 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 languageC++JavaScala
Server operating systemsOS X
Windows
AIX
HP-UX
Linux
LinuxLinux
OS X
Windows
Linux
Data schemeyesyesSchema and schema-less with LDAP viewsyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.yesnoyesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92ANSI SQL-92noSQL-like DML and DDL statementsSQL-like query language (YQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
Proprietary protocol
LDAPJDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languages4D proprietary IDE
PHP
C
C++
Java
All languages with LDAP bindingsJava
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesstored procedures and stored functionsnonono
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infocell divisionyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesnoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsnoACID
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.noyesyesnono
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardLDAP bind authenticationnoAccess rights defined for Yandex Cloud users

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
4D infoformer name: 4th DimensionAltibaseAtos Standard Common RepositorySpark SQLYDB
DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Recent citations in the news

Altibase is Adopted for Presence Service to Provide User Information and Online Presence
8 April 2019, PR Newswire

Open-source DBMS becoming battleground of public cloud
17 May 2022, Etnews

South Korean company to provide database solution to Mobicom
10 April 2020, UB Post

In-memory OLAP Database Market Is Booming (CAGR of 24.95%) Worldwide | Terracotta, Altibase, Kognitio, Mcobject ...
26 October 2018, openPR

provided by Google News

Use Amazon Athena with Spark SQL for your open-source transactional table formats | Amazon Web Services
24 January 2024, AWS Blog

What is Apache Spark? The big data platform that crushed Hadoop
3 April 2024, InfoWorld

Cracking the Apache Spark Interview: 80+ Top Questions and Answers for 2024
1 April 2024, Simplilearn

1.5 Years of Spark Knowledge in 8 Tips | by Michael Berk
23 December 2023, Towards Data Science

Run Apache Hive workloads using Spark SQL with Amazon EMR on EKS | Amazon Web Services
18 October 2023, AWS Blog

provided by Google News

Personal Data Protection Service Initiates Probe into Yandex.Go App’s Data Processing
10 August 2023, Civil Georgia

Data leak from Russian delivery app shows dining habits of the secret police
3 April 2022, The Verge

Russian Court Sues Yandex CEO For LGBT Propaganda Case
3 January 2024, VOI.ID

Yandex code leak: Why hack of ‘Russian Google’s’ ranking factors has spooked the SEO industry
1 February 2023, The Indian Express

Russian secret police data leaked by food delivery app including where they live and what they eat...
4 April 2022, The US Sun

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here