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DBMS > Apache Phoenix vs. CrateDB vs. Weaviate vs. YottaDB

System Properties Comparison Apache Phoenix vs. CrateDB vs. Weaviate vs. YottaDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonCrateDB  Xexclude from comparisonWeaviate  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseDistributed Database based on LuceneAn AI-native realtime vector database engine that integrates scalable machine learning models.A fast and solid embedded Key-value store
Primary database modelRelational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Vector DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitephoenix.apache.orgcratedb.comgithub.com/­weaviate/­weaviate
weaviate.io
yottadb.com
Technical documentationphoenix.apache.orgcratedb.com/­docsweaviate.io/­developers/­weaviateyottadb.com/­resources/­documentation
DeveloperApache Software FoundationCrateWeaviate B.V.YottaDB, LLC
Initial release2014201320192001
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infocommercial license available with Weaviate EnterpriseOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoC
Server operating systemsLinux
Unix
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportDocker
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesFlexible Schema (defined schema, partial schema, schema free)yes, maps to GraphQL interfaceschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy referencesno
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
Secondary indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexedno
SQL infoSupport of SQLyesyes, but no triggers and constraints, and PostgreSQL compatibilityGraphQL is used as query languageby using the Octo plugin
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
JavaScript / TypeScript
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsuser defined functions (Javascript)no
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Configurable replication on table/partition-levelyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Read-after-write consistency on record level
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategynooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyrights management via user accountsAPI Keys
OpenID Connect Discovery
Users and groups based on OS-security mechanisms
More information provided by the system vendor
Apache PhoenixCrateDBWeaviateYottaDB
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache PhoenixCrateDBWeaviateYottaDB
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