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DBMS > Apache Impala vs. Blazegraph vs. Cloudflare Workers KV vs. Milvus vs. OrigoDB

System Properties Comparison Apache Impala vs. Blazegraph vs. Cloudflare Workers KV vs. Milvus vs. OrigoDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBlazegraph  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonMilvus  Xexclude from comparisonOrigoDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionAnalytic DBMS for HadoopHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A DBMS designed for efficient storage of vector data and vector similarity searchesA fully ACID in-memory object graph database
Primary database modelRelational DBMSGraph DBMS
RDF store
Key-value storeVector DBMSDocument store
Object oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.39
Rank#274  Overall
#39  Key-value stores
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websiteimpala.apache.orgblazegraph.comwww.cloudflare.com/­developer-platform/­workers-kvmilvus.ioorigodb.com
Technical documentationimpala.apache.org/­impala-docs.htmlwiki.blazegraph.comdevelopers.cloudflare.com/­kv/­apimilvus.io/­docs/­overview.mdorigodb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBlazegraphCloudflareRobert Friberg et al
Initial release20132006201820192009 infounder the name LiveDB
Current release4.1.0, June 20222.1.5, March 20192.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoextended commercial license availablecommercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
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++, GoC#
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesnoVector, Numeric and StringUser defined using .NET types and collections
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.nononono infocan be achieved using .NET
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSPARQL is used as query languagenonono
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HTTP REST
Proprietary protocol
RESTful HTTP API.NET Client API
HTTP API
LINQ
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnonoyes
Triggersnonononoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosSecurity and Authentication via Web Application Container (Tomcat, Jetty)Role based access control and fine grained access rightsRole based authorization
More information provided by the system vendor
Apache ImpalaBlazegraphCloudflare Workers KVMilvusOrigoDB
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
Apache ImpalaBlazegraphCloudflare Workers KVMilvusOrigoDB
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