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DBMS > atoti vs. Greenplum vs. SurrealDB

System Properties Comparison atoti vs. Greenplum vs. SurrealDB

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGreenplum  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelObject oriented DBMSRelational DBMSDocument store
Graph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#244  Overall
#11  Object oriented DBMS
Score7.83
Rank#45  Overall
#29  Relational DBMS
Score1.00
Rank#183  Overall
#31  Document stores
#17  Graph DBMS
Websiteatoti.iogreenplum.orgsurrealdb.com
Technical documentationdocs.atoti.iodocs.greenplum.orgsurrealdb.com/­docs
DeveloperActiveViamPivotal Software Inc.SurrealDB Ltd
Initial release20052022
Current release7.0.0, September 2023v1.5.0, May 2024
License infoCommercial or Open Sourcecommercial infofree versions availablecommercial infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRust
Server operating systemsLinuxLinux
macOS
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.yes infosince Version 4.2
Secondary indexesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesSQL-like query language
APIs and other access methodsJDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
Java
Perl
Python
R
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresPythonyes
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rules

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More resources
atotiGreenplumSurrealDB
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