DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > BoltDB vs. Databricks vs. DolphinDB vs. Elasticsearch vs. Qdrant

System Properties Comparison BoltDB vs. Databricks vs. DolphinDB vs. Elasticsearch vs. Qdrant

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatabricks  Xexclude from comparisonDolphinDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAn embedded key-value store for Go.The 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.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA high-performance vector database with neural network or semantic-based matching
Primary database modelKey-value storeDocument store
Relational DBMS
Time Series DBMS
Vector DBMS
Search engineVector DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.70
Rank#225  Overall
#31  Key-value stores
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score128.79
Rank#8  Overall
#1  Search engines
Score1.53
Rank#145  Overall
#7  Vector DBMS
Websitegithub.com/­boltdb/­boltwww.databricks.comwww.dolphindb.comwww.elastic.co/­elasticsearchgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.databricks.comdocs.dolphindb.cn/­en/­help200/­index.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlqdrant.tech/­documentation
DeveloperDatabricksDolphinDB, IncElasticQdrant
Initial release20132013201820102021
Current releasev2.00.4, January 20228.6, January 2023
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercial infofree community version availableOpen Source infoElastic LicenseOpen Source infoApache Version 2.0
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 languageGoC++JavaRust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
Windows
All OS with a Java VMDocker
Linux
macOS
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
Typing infopredefined data types such as float or datenoyesyesNumbers, 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.noyesnonono
Secondary indexesnoyesyesyes infoAll search fields are automatically indexedyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnowith Databricks SQLSQL-like query languageSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Java API
RESTful HTTP/JSON API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesGoPython
R
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyesyes
Triggersnonoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesyesCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency, tunable consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyesno
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.nonoyesMemcached and Redis integrationyes
User concepts infoAccess controlnoAdministrators, Users, GroupsKey-based authentication
More information provided by the system vendor
BoltDBDatabricksDolphinDBElasticsearchQdrant
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more

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
BoltDBDatabricksDolphinDBElasticsearchQdrant
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

show all

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Recent citations in the news

What I learnt from building 3 high traffic web applications on an embedded key value store.
21 February 2018, hackernoon.com

4 Instructive Postmortems on Data Downtime and Loss
1 March 2024, The Hacker News

Roblox’s cloud-native catastrophe: A post mortem
31 January 2022, InfoWorld

Three Reasons DevOps Should Consider Rocky Linux 9.4
15 May 2024, DevOps.com

How to Put a GUI on Ansible, Using Semaphore
22 April 2023, The New Stack

provided by Google News

Saudi Arabia’s Sovereign Wealth Fund’s Big AI Bets Include Mistral And Databricks
24 September 2024, Forbes

Databricks could launch IPO in two months but biding time despite investor pressure, CEO says
13 September 2024, ION Analytics

Databricks sues patent holders over alleged 'extortion' scheme
9 September 2024, Reuters

Databricks reportedly paid $2 billion in Tabular acquisition
14 August 2024, TechCrunch

Inside the Snowflake — Databricks Rivalry, and Why Both Fear Microsoft
14 August 2024, Bloomberg

provided by Google News

Elasticsearch will be open source again as CTO declares changed landscape
2 September 2024, DevClass

The Elasticsearch cloud now subject to open-source licence
3 September 2024, TechHQ

Unsecured Elasticsearch cluster exposes over 3M vehicle records
18 September 2024, SC Media

Elasticsearch Open Inference API Extends Support for Hugging Face Models with Semantic Text
12 September 2024, Yahoo Finance

Partnership between Google Cloud and Elasticsearch helps customers solve big data problems with generative AI
24 July 2024, SiliconANGLE News

provided by Google News

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

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

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

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

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

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

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Present your product here