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DBMS > LeanXcale vs. mSQL vs. ScyllaDB vs. Weaviate

System Properties Comparison LeanXcale vs. mSQL vs. ScyllaDB vs. Weaviate

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonScyllaDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesmSQL (Mini SQL) is a simple and lightweight RDBMSCassandra and DynamoDB compatible wide column storeAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value store
Relational DBMS
Relational DBMSWide column storeVector DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.leanxcale.comhughestech.com.au/­products/­msqlwww.scylladb.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.scylladb.comweaviate.io/­developers/­weaviate
DeveloperLeanXcaleHughes TechnologiesScyllaDBWeaviate B.V.
Initial release2015199420152019
Current release4.4, October 2021ScyllaDB Open Source 5.4.1, January 20241.19, May 2023
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageCC++Go
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyesyesschema-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 indexesyesyes infocluster global secondary indicesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyes infothrough Apache DerbyA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like DML and DDL statements (CQL)GraphQL is used as query language
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
Java
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyes, Luano
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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.yesnoyes infoin-memory tablesyes
User concepts infoAccess controlnoAccess rights for users can be defined per objectAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
LeanXcalemSQL infoMini SQLScyllaDBWeaviate
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
All companies that have data. ​
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
LeanXcalemSQL infoMini SQLScyllaDBWeaviate
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