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DBMS > Drizzle vs. Geode vs. Google Cloud Spanner vs. LevelDB

System Properties Comparison Drizzle vs. Geode vs. Google Cloud Spanner vs. LevelDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonLevelDB  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA 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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.51
Rank#147  Overall
#25  Key-value stores
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Websitegeode.apache.orgcloud.google.com/­spannergithub.com/­google/­leveldb
Technical documentationgeode.apache.org/­docscloud.google.com/­spanner/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperDrizzle project, originally started by Brian AkerOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleGoogle
Initial release2008200220172011
Current release7.2.4, September 20121.1, February 20171.23, February 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VM infothe JDK (8 or later) is also requiredhostedIllumos
Linux
OS X
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query language (OQL)yes infoQuery statements complying to ANSI 2011no
APIs and other access methodsJDBCJava Client API
Memcached protocol
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersno infohooks for callbacks inside the server can be used.yes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replication with 3 replicas for regional instances.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACID infoStrict serializable isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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DrizzleGeodeGoogle Cloud SpannerLevelDB
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