DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > atoti vs. MaxDB vs. RavenDB vs. ReductStore vs. Spark SQL

System Properties Comparison atoti vs. MaxDB vs. RavenDB vs. ReductStore vs. Spark SQL

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonRavenDB  Xexclude from comparisonReductStore  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A robust and reliable RDBMS optimized to run all major SAP solutionsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelObject oriented DBMSRelational DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteatoti.iomaxdb.sap.comravendb.netgithub.com/­reductstore
www.reduct.store
spark.apache.org/­sql
Technical documentationdocs.atoti.iomaxdb.sap.com/­documentationravendb.net/­docswww.reduct.store/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperActiveViamSAP, acquired from Software AG (Adabas-D) in 1997Hibernating RhinosReductStore LLCApache Software Foundation
Initial release1984201020232014
Current release7.9.10.12, February 20245.4, July 20221.9, March 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infoLimited community edition freeOpen Source infoAGPL version 3, commercial license availableOpen Source infoBusiness Source License 1.1Open Source infoApache 2.0
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 languageJavaC++C#C++, RustScala
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesSQL-like query language (RQL)SQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
WebDAV
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP APIJDBC
ODBC
Supported programming languages.Net
C#
Java
Perl
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
JavaScript (Node.js)
Python
Rust
Java
Python
R
Scala
Server-side scripts infoStored proceduresPythonyesyesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAuthorization levels configured per client per databaseno

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
atotiMaxDB infoformerly named Adabas-DRavenDBReductStoreSpark SQL
Recent citations in the news

Best use of cloud: ActiveViam
28 November 2023, Risk.net

provided by Google News

SAP Content Server High Availability using Amazon EFS and SUSE | Amazon Web Services
30 December 2020, AWS Blog

Extended Maintenance Commitments Across SAP Solutions
11 August 2020, SAP News

Alibaba Cloud Offers Access to SAP Software for Customers
5 June 2018, Alizila

Dear SAP, Why Don't You Make Hana A Success?
28 July 2021, E3-Magazin

SIOS looks to boost SAP HANA automated replication
29 March 2023, TechTarget

provided by Google News

RavenDB Launches Version 6.0 Lightning Fast Queries, Data Integrations, Corax Indexing Engine, and Sharding
3 October 2023, PR Newswire

Install the NoSQL RavenDB Data System
14 May 2021, The New Stack

RavenDB Adds Graph Queries
15 May 2019, Datanami

How I Created a RavenDB Python Client
23 September 2016, Visual Studio Magazine

Oren Eini on RavenDB, Including Consistency Guarantees and C# as the Implementation Language
23 May 2022, InfoQ.com

provided by Google News

Performance Insights from Sigma Rule Detections in Spark Streaming
1 June 2024, Towards Data Science

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

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

provided by Google News



Share this page

Featured Products

Milvus logo

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

Neo4j logo

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