DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Ehcache vs. Microsoft Azure SQL Database vs. Percona Server for MySQL vs. Qdrant vs. RavenDB

System Properties Comparison Ehcache vs. Microsoft Azure SQL Database vs. Percona Server for MySQL vs. Qdrant vs. RavenDB

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonQdrant  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsDatabase as a Service offering with high compatibility to Microsoft SQL ServerEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.A high-performance vector database with neural network or semantic-based matchingOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelKey-value storeRelational DBMSRelational DBMSVector DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score2.10
Rank#119  Overall
#57  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitewww.ehcache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.percona.com/­software/­mysql-database/­percona-servergithub.com/­qdrant/­qdrant
qdrant.tech
ravendb.net
Technical documentationwww.ehcache.org/­documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.percona.com/­downloads/­Percona-Server-LATESTqdrant.tech/­documentationravendb.net/­docs
DeveloperTerracotta Inc, owned by Software AGMicrosoftPerconaQdrantHibernating Rhinos
Initial release20092010200820212010
Current release3.10.0, March 2022V128.0.36-28, 20245.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGPL version 2Open Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and C++RustC#
Server operating systemsAll OS with a Java VMhostedLinuxDocker
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesNumbers, Strings, Geo, Booleanno
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.noyesyesno
Secondary indexesnoyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnoyesyesnoSQL-like query language (RQL)
APIs and other access methodsJCacheADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesJava.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoTransact SQLyesyes
Triggersyes infoCache Event Listenersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryes, with always 3 replicas availableMulti-source replication
Source-replica replication
XtraDB Cluster
Collection-level replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesKey-based authenticationAuthorization levels configured per client per database

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
EhcacheMicrosoft Azure SQL Database infoformerly SQL AzurePercona Server for MySQLQdrantRavenDB
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

show all

Recent citations in the news

Ehcache 2.0: Write-Behind Caching and JTA Support
11 May 2010, InfoQ.com

Atlassian asks customers to patch critical Jira vulnerability
22 July 2021, BleepingComputer

Hazelcast signs Java speed king to its in-memory data-grid crew
21 January 2014, The Register

Scaling Australia's Most Popular Online News Sites with Ehcache
6 December 2010, InfoQ.com

Critical Jira Flaw in Atlassian Could Lead to RCE
22 July 2021, Threatpost

provided by Google News

Copilot in Azure SQL Database in Private Preview
27 March 2024, InfoQ.com

Microsoft unveils Copilot for Azure SQL Database
27 March 2024, InfoWorld

Azure SQL Database migration to OCI - resources estimation and migration approach
11 January 2024, Oracle

Expand the limits of innovation with Azure data
21 March 2024, Microsoft

Why migrate Windows Server and SQL Server to Azure: ROI, innovation, and free offers
25 April 2024, Microsoft

provided by Google News

Update or migrate? Planning for MySQL 5.7 EOL
22 June 2023, InfoWorld

Sizing Up Servers: Intel's Skylake-SP Xeon versus AMD's EPYC 7000 - The Server CPU Battle of the Decade?
11 July 2017, AnandTech

How to deploy the Percona database performance monitor with Docker
24 February 2023, TechRepublic

Supercharge your Amazon RDS for MySQL deployment with ProxySQL and Percona Monitoring and Management ...
12 October 2018, AWS Blog

Critical MySQL Vulnerabilities Can Lead to Server Compromise
2 November 2016, Threatpost

provided by Google News

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

Qdrant launches first vector database as a managed hybrid cloud
16 April 2024, VentureBeat

provided by Google News

RavenDB Launches Version 6.0 Lightning Fast Queries, Data Integrations, Corax Indexing Engine, and Sharding
3 October 2023, PR Newswire

Install the NoSQL RavenDB Data System
14 May 2021, The New Stack

RavenDB Adds Graph Queries
15 May 2019, Datanami

How I Created a RavenDB Python Client
23 September 2016, Visual Studio Magazine

Oren Eini on RavenDB, Including Consistency Guarantees and C# as the Implementation Language
23 May 2022, InfoQ.com

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here