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DBMS > Drizzle vs. GeoSpock vs. Google Cloud Spanner vs. OrientDB vs. SwayDB

System Properties Comparison Drizzle vs. GeoSpock vs. Google Cloud Spanner vs. OrientDB vs. SwayDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonOrientDB  Xexclude from comparisonSwayDB  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.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Spatial and temporal data processing engine for extreme data scaleA 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.Multi-model DBMS (Document, Graph, Key/Value)An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Key-value store
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
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitegeospock.comcloud.google.com/­spannerorientdb.orgswaydb.simer.au
Technical documentationcloud.google.com/­spanner/­docswww.orientdb.com/­docs/­last/­index.html
DeveloperDrizzle project, originally started by Brian AkerGeoSpockGoogleOrientDB LTD; CallidusCloud; SAPSimer Plaha
Initial release2008201720102018
Current release7.2.4, September 20122.0, September 20193.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen Source infoApache version 2Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, JavascriptJavaScala
Server operating systemsFreeBSD
Linux
OS X
hostedhostedAll OS with a Java JDK (>= JDK 6)
Data schemeyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononono
Secondary indexesyestemporal, categoricalyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsANSI SQL for query only (using Presto)yes infoQuery statements complying to ANSI 2011SQL-like query language, no joinsno
APIs and other access methodsJDBCJDBCgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
PHP
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnononoJava, Javascriptno
Triggersno infohooks for callbacks inside the server can be used.nonoHooksno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication with 3 replicas for regional instances.Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoStrict serializable isolationACIDAtomic execution of operations
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.nonoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles; record level security configurableno

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More resources
DrizzleGeoSpockGoogle Cloud SpannerOrientDBSwayDB
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