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DBMS > Drizzle vs. HugeGraph vs. Milvus vs. Sqrrl vs. ToroDB

System Properties Comparison Drizzle vs. HugeGraph vs. Milvus vs. Sqrrl vs. ToroDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHugeGraph  Xexclude from comparisonMilvus  Xexclude from comparisonSqrrl  Xexclude from comparisonToroDB  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.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it 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 DBMSA DBMS designed for efficient storage of vector data and vector similarity searchesAdaptable, secure NoSQL built on Apache AccumuloA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSGraph DBMSVector DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
milvus.iosqrrl.comgithub.com/­torodb/­server
Technical documentationhugegraph.apache.org/­docsmilvus.io/­docs/­overview.md
DeveloperDrizzle project, originally started by Brian AkerBaiduAmazon infooriginally Sqrrl Data, Inc.8Kdata
Initial release20082018201920122016
Current release7.2.4, September 20120.92.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++JavaC++, GoJavaJava
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS
Unix
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
LinuxAll OS with a Java 7 VM
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyesyes infostring, integer, double, boolean, date, object_id
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 indexnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnonono
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C++
Java
PHP
Groovy
Java
Python
C++
Go
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnono
Triggersno infohooks for callbacks inside the server can be used.nononono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infomaking use of HadoopSharding
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 HBaseselectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic updates per row, document, or graph entityno
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.yesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissionsRole based access control and fine grained access rightsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights for users and roles
More information provided by the system vendor
DrizzleHugeGraphMilvusSqrrlToroDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
DrizzleHugeGraphMilvusSqrrlToroDB
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