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DBMS > Databricks vs. IRONdb vs. LMDB vs. Milvus vs. WakandaDB

System Properties Comparison Databricks vs. IRONdb vs. LMDB vs. Milvus vs. WakandaDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonIRONdb  Xexclude from comparisonLMDB  Xexclude from comparisonMilvus  Xexclude from comparisonWakandaDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionThe 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.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA high performant, light-weight, embedded key-value database libraryA DBMS designed for efficient storage of vector data and vector similarity searchesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Relational DBMS
Time Series DBMSKey-value storeVector DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.databricks.comwww.circonus.com/solutions/time-series-database/www.symas.com/­symas-embedded-database-lmdbmilvus.iowakanda.github.io
Technical documentationdocs.databricks.comdocs.circonus.com/irondb/category/getting-startedwww.lmdb.tech/­docmilvus.io/­docs/­overview.mdwakanda.github.io/­doc
DeveloperDatabricksCirconus LLC.SymasWakanda SAS
Initial release20132017201120192012
Current releaseV0.10.20, January 20180.9.32, January 20242.3.4, January 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
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 and C++CC++, GoC++, JavaScript
Server operating systemshostedLinuxLinux
Unix
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsVector, Numeric and Stringyes
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.yesnononono
Secondary indexesyesnonono
SQL infoSupport of SQLwith Databricks SQLSQL-like query language (Circonus Analytics Query Language: CAQL)nonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP APIRESTful HTTP APIRESTful HTTP API
Supported programming languagesPython
R
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes, in Luanonoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter awarenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlnonoRole based access control and fine grained access rightsyes
More information provided by the system vendor
DatabricksIRONdbLMDBMilvusWakandaDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Milvus 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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DatabricksIRONdbLMDBMilvusWakandaDB
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