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DBMS > Apache IoTDB vs. Databricks vs. Lovefield vs. Weaviate

System Properties Comparison Apache IoTDB vs. Databricks vs. Lovefield vs. Weaviate

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDatabricks  Xexclude from comparisonLovefield  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Embeddable relational database for web apps written in pure JavaScriptAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSDocument store
Relational DBMS
Relational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteiotdb.apache.orgwww.databricks.comgoogle.github.io/­lovefieldgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.databricks.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdweaviate.io/­developers/­weaviate
DeveloperApache Software FoundationDatabricksGoogleWeaviate B.V.
Initial release2018201320142019
Current release1.1.0, April 20232.1.12, February 20171.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptGo
Server operating systemsAll OS with a Java VM (>= 1.8)hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes, 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.noyesnono
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query languagewith Databricks SQLSQL-like query language infovia JavaScript builder patternGraphQL is used as query language
APIs and other access methodsJDBC
Native API
JDBC
ODBC
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Python
R
Scala
JavaScriptJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesnono
TriggersyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing MemoryDByes
User concepts infoAccess controlyesnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache IoTDBDatabricksLovefieldWeaviate
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
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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...
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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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Apache IoTDBDatabricksLovefieldWeaviate
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