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DBMS > Drizzle vs. GeoMesa vs. PouchDB vs. ScyllaDB

System Properties Comparison Drizzle vs. GeoMesa vs. PouchDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGeoMesa  Xexclude from comparisonPouchDB  Xexclude from comparisonScyllaDB  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.JavaScript DBMS with an API inspired by CouchDBCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSSpatial DBMSDocument storeWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitewww.geomesa.orgpouchdb.comwww.scylladb.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlpouchdb.com/­guidesdocs.scylladb.com
DeveloperDrizzle project, originally started by Brian AkerCCRi and othersApache Software FoundationScyllaDB
Initial release2008201420122015
Current release7.2.4, September 20125.0.0, May 20247.1.1, June 2019ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache License 2.0Open SourceOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++ScalaJavaScriptC++
Server operating systemsFreeBSD
Linux
OS X
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesyes infovia viewsyes infocluster global secondary indices
SQL infoSupport of SQLyes infowith proprietary extensionsnonoSQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBCHTTP REST infoonly for PouchDB Server
JavaScript API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
C++
Java
PHP
JavaScriptFor CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnonoView functions in JavaScriptyes, Lua
Triggersno infohooks for callbacks inside the server can be used.noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
depending on storage layerMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyes infoin-memory tables
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyes infodepending on the DBMS used for storagenoAccess rights for users can be defined per object
More information provided by the system vendor
DrizzleGeoMesaPouchDBScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
DrizzleGeoMesaPouchDBScyllaDB
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