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DBMS > Apache Druid vs. jBASE vs. Memgraph vs. Milvus

System Properties Comparison Apache Druid vs. jBASE vs. Memgraph vs. Milvus

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonjBASE  Xexclude from comparisonMemgraph  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA robust multi-value DBMS comprising development tools and middlewareAn open source graph database built for real-time streaming and compatible with Neo4jA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMS
Time Series DBMS
Multivalue DBMSGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitedruid.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasememgraph.commilvus.io
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9memgraph.com/­docsmilvus.io/­docs/­overview.md
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperApache Software Foundation and contributorsRocket Software (formerly Zumasys)Memgraph Ltd
Initial release2012199120172019
Current release29.0.1, April 20245.72.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoApache Version 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC and C++C++, Go
Server operating systemsLinux
OS X
Unix
AIX
Linux
Windows
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyes infoschema-less columns are supportedschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesoptionalyesVector, Numeric and String
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.noyesnono
Secondary indexesyesno
SQL infoSupport of SQLSQL for queryingEmbedded SQL for jBASE in BASICnono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Bolt protocol
Cypher query language
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Basic
Jabbascript
Java
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights can be defined down to the item levelUsers, roles and permissionsRole based access control and fine grained access rights
More information provided by the system vendor
Apache DruidjBASEMemgraphMilvus
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
RAG: 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 modelsYou can check out our pricing model and licenses on the company website .
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Apache DruidjBASEMemgraphMilvus
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