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DBMS > Ignite vs. OushuDB vs. Qdrant

System Properties Comparison Ignite vs. OushuDB vs. Qdrant

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonOushuDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningA high-performance vector database with neural network or semantic-based matching
Primary database modelKey-value store
Relational DBMS
Relational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteignite.apache.orgwww.oushu.com/­product/­oushuDBgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationapacheignite.readme.io/­docswww.oushu.com/­documentationqdrant.tech/­documentation
DeveloperApache Software FoundationOushuQdrant
Initial release20152021
Current releaseApache Ignite 2.64.0.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetRust
Server operating systemsLinux
OS X
Solaris
Windows
LinuxDocker
Linux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Boolean
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.yesno
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLFull-featured ANSI SQL supportno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes
Triggersyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Collection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsKerberos, SSL and role based accessKey-based authentication

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More resources
IgniteOushuDBQdrant
Recent citations in the news

GridGain Announces Call for Speakers for Virtual Apache Ignite Summit 2024
8 February 2024, PR Newswire

Apache Ignite: An Overview
6 September 2023, Open Source For You

What is Apache Ignite? How is Apache Ignite Used?
18 July 2022, The Stack

Real-time in-memory OLTP and Analytics with Apache Ignite on AWS | Amazon Web Services
14 May 2016, AWS Blog

Fire up big data processing with Apache Ignite
27 October 2016, InfoWorld

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8 September 2021, PingWest

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Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

Qdrant offers managed vector database for hybrid clouds
16 April 2024, InfoWorld

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
16 April 2024, Business Wire

Qdrant Hybrid Cloud is Now Available for OCI Customers: Managed Vector Search Engine for Data-Sensitive AI ...
16 April 2024, Oracle

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17 April 2024, Forbes

provided by Google News



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