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DBMS > Qdrant vs. Splice Machine

System Properties Comparison Qdrant vs. Splice Machine

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Editorial information provided by DB-Engines
NameQdrant  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA high-performance vector database with neural network or semantic-based matchingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#126  Overall
#8  Vector DBMS
Score0.54
Rank#242  Overall
#112  Relational DBMS
Websitegithub.com/­qdrant/­qdrant
qdrant.tech
splicemachine.com
Technical documentationqdrant.tech/­documentationsplicemachine.com/­how-it-works
DeveloperQdrantSplice Machine
Initial release20212014
Current release3.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJava
Server operating systemsDocker
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateNumbers, Strings, Geo, Booleanyes
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.no
Secondary indexesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnoyes
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infoJava
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlKey-based authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
QdrantSplice Machine
Recent citations in the news

Qdrant review: A highly flexible option for vector search
29 July 2024, InfoWorld

Qdrant Launches Groundbreaking Pure Vector-Based Hybrid Search, Setting Higher Standards for RAG and AI Applications
2 July 2024, Business Wire

Vector database company Qdrant wants RAG to be more cost-effective
2 July 2024, VentureBeat

Qdrant unveils hybrid vector algorithm for improved RAG
2 July 2024, Blocks and Files

Qdrant Introduces BM42: Hybrid Search For Enhanced RAG
6 July 2024, Forbes

provided by Google News

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine Learning
19 January 2021, PR Newswire

Monte Zweben's Splice Machine Introduces New Hadoop RDBMS
24 June 2014, Forbes

Unified MLOps: Feature Stores and Model Deployment
13 May 2022, InfoQ.com

The Ultimate Tool for Data Science Feature Factories
23 August 2019, Towards Data Science

provided by Google News



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