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DBMS > Drizzle vs. Google Cloud Spanner vs. ObjectBox vs. RisingWave vs. Teradata Aster

System Properties Comparison Drizzle vs. Google Cloud Spanner vs. ObjectBox vs. RisingWave vs. Teradata Aster

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonObjectBox  Xexclude from comparisonRisingWave  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.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.Extremely fast embedded database for small devices, IoT and MobileA distributed RDBMS for stream processing, wire-compatible with PostgreSQLPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitecloud.google.com/­spannerobjectbox.iowww.risingwave.com/­database
Technical documentationcloud.google.com/­spanner/­docsdocs.objectbox.iodocs.risingwave.com/­docs/­current/­intro
DeveloperDrizzle project, originally started by Brian AkerGoogleObjectBox LimitedRisingWave LabsTeradata
Initial release20082017201720222005
Current release7.2.4, September 20121.2, September 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++Rust
Server operating systemsFreeBSD
Linux
OS X
hostedAndroid
iOS
Linux
macOS
Windows
Docker
Linux
macOS
Linux
Data schemeyesyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesStandard SQL-types and JSONyes
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.nononoyes infoin Aster File Store
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyes infoQuery statements complying to ANSI 2011noyesyes
APIs and other access methodsJDBCgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Proprietary native APIJDBC
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C++
Java
PHP
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnononoUDFs in Python or JavaR packages
Triggersno infohooks for callbacks inside the server can be used.nononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication with 3 replicas for regional instances.online/offline synchronization between client and serveryes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesUsers and Rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
DrizzleGoogle Cloud SpannerObjectBoxRisingWaveTeradata Aster
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More resources
DrizzleGoogle Cloud SpannerObjectBoxRisingWaveTeradata Aster
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