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DBMS > ArcadeDB vs. Datastax Enterprise vs. Weaviate

System Properties Comparison ArcadeDB vs. Datastax Enterprise vs. Weaviate

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Wide column storeVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#358  Overall
#48  Document stores
#38  Graph DBMS
#52  Key-value stores
#35  Time Series DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitearcadedb.comwww.datastax.com/­products/­datastax-enterprisegithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.arcadedb.comdocs.datastax.comweaviate.io/­developers/­weaviate
DeveloperArcade DataDataStaxWeaviate B.V.
Initial release202120112019
Current releaseSeptember 20216.8, April 20201.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaJavaGo
Server operating systemsAll OS with a Java VMLinux
OS X
Data schemeschema-freeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query language, no joinsSQL-like DML and DDL statements (CQL); Spark SQLGraphQL is used as query language
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJavaC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnono
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationconfigurable replication factor, datacenter aware, advanced replication for edge computingyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users can be defined per objectAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
ArcadeDBDatastax EnterpriseWeaviate
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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As a database supporting the development of generative AI and semantic search applications...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
All companies that have data. ​
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsAnnual subscription
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
ArcadeDBDatastax EnterpriseWeaviate
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