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DBMS > Apache Impala vs. Microsoft Azure Table Storage vs. Weaviate vs. XTDB

System Properties Comparison Apache Impala vs. Microsoft Azure Table Storage vs. Weaviate vs. XTDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonWeaviate  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA Wide Column Store for rapid development using massive semi-structured datasetsAn AI-native realtime vector database engine that integrates scalable machine learning models.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSWide column storeVector DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteimpala.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­weaviate/­weaviate
weaviate.io
github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationimpala.apache.org/­impala-docs.htmlweaviate.io/­developers/­weaviatewww.xtdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftWeaviate B.V.Juxt Ltd.
Initial release2013201220192019
Current release4.1.0, June 20221.19, May 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infocommercial license available with Weaviate EnterpriseOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoClojure
Server operating systemsLinuxhostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyes, maps to GraphQL interfaceschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy referencesyes, extensible-data-notation format
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 indexesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoGraphQL is used as query languagelimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
HTTP REST
JDBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript / TypeScript
Python
Clojure
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights based on private key authentication or shared access signaturesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache ImpalaMicrosoft Azure Table StorageWeaviateXTDB infoformerly named Crux
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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More resources
Apache ImpalaMicrosoft Azure Table StorageWeaviateXTDB infoformerly named Crux
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