DBMS > ArcadeDB vs. Google Cloud Spanner vs. Greenplum
System Properties Comparison ArcadeDB vs. Google Cloud Spanner vs. Greenplum
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|Editorial information provided by DB-Engines|
|Name||ArcadeDB Xexclude from comparison||Google Cloud Spanner Xexclude from comparison||Greenplum Xexclude from comparison|
|Description||Fast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten||A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.||Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database A logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.|
|Primary database model||Document store|
Time Series DBMS in next version
|Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Developer||Arcade Data||Pivotal Software Inc.|
|Current release||September 2021||7.0.0, September 2023|
|License Commercial or Open Source||Open Source Apache Version 2.0||commercial||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||All OS with a Java VM||hosted||Linux|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no||yes since Version 4.2|
|SQL Support of SQL||SQL-like query language, no joins||yes Query statements complying to ANSI 2011||yes|
|APIs and other access methods||JDBC|
PostgreSQL wire protocol
RESTful HTTP/JSON API
|gRPC (using protocol buffers) API|
JDBC At present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
|Supported programming languages||Java||Go|
|Server-side scripts Stored procedures||no||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication||Multi-source replication with 3 replicas for regional instances.||Source-replica replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes using Google Cloud Dataflow||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes relationship in graphs||yes by using interleaved tables, this features focuses more on performance improvements than on referential integrity||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID Strict serializable isolation||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||fine grained access rights according to SQL-standard|
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|ArcadeDB||Google Cloud Spanner||Greenplum|
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