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DBMS > Drizzle vs. HugeGraph vs. PouchDB vs. Tarantool

System Properties Comparison Drizzle vs. HugeGraph vs. PouchDB vs. Tarantool

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHugeGraph  Xexclude from comparisonPouchDB  Xexclude from comparisonTarantool  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.A fast-speed and highly-scalable Graph DBMSJavaScript DBMS with an API inspired by CouchDBIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelRelational DBMSGraph DBMSDocument storeDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
pouchdb.comwww.tarantool.io
Technical documentationhugegraph.apache.org/­docspouchdb.com/­guideswww.tarantool.io/­en/­doc
DeveloperDrizzle project, originally started by Brian AkerBaiduApache Software FoundationVK
Initial release2008201820122008
Current release7.2.4, September 20120.97.1.1, June 20192.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2.0Open SourceOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaScriptC and C++
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
macOS
Data schemeyesyesschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesnostring, double, decimal, uuid, integer, blob, boolean, datetime
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 indexesyesyes infoalso supports composite index and range indexyes infovia viewsyes
SQL infoSupport of SQLyes infowith proprietary extensionsnonoFull-featured ANSI SQL support
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP REST infoonly for PouchDB Server
JavaScript API
Open binary protocol
Supported programming languagesC
C++
Java
PHP
Groovy
Java
Python
JavaScriptC
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsView functions in JavaScriptLua, C and SQL stored procedures
Triggersno infohooks for callbacks inside the server can be used.noyesyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infowith a proxy-based framework, named couchdb-loungeSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Asynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integrityyesyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissionsnoAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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DrizzleHugeGraphPouchDBTarantool
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