DBMS > Amazon DynamoDB vs. Elasticsearch vs. Qdrant
System Properties Comparison Amazon DynamoDB vs. Elasticsearch vs. Qdrant
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines|
|Name||Amazon DynamoDB Xexclude from comparison||Elasticsearch Xexclude from comparison||Qdrant Xexclude from comparison|
|Description||Hosted, scalable database service by Amazon with the data stored in Amazons cloud||A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric||A high-performance vector database with neural network or semantic-based matching|
|Primary database model||Document store|
|Search engine||Vector DBMS|
|Secondary database models||Document store|
|Current release||8.6, January 2023|
|License Commercial or Open Source||commercial free tier for a limited amount of database operations||Open Source Elastic License||Open Source Apache Version 2.0|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||hosted||All OS with a Java VM||Docker|
|Data scheme||schema-free||schema-free Flexible type definitions. Once a type is defined, it is persistent||schema-free|
|Typing predefined data types such as float or date||yes||yes||Numbers, Strings, Geo, Boolean|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no|
|Secondary indexes||yes||yes All search fields are automatically indexed||yes Keywords, numberic ranges, geo, full-text|
|SQL Support of SQL||no||SQL-like query language||no|
|APIs and other access methods||RESTful HTTP API||Java API|
RESTful HTTP/JSON API
RESTful HTTP/JSON API OpenAPI 3.0
|Supported programming languages||.Net|
Community Contributed Clients
|Server-side scripts Stored procedures||no||yes|
|Triggers||yes by integration with AWS Lambda||yes by using the 'percolation' feature|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||yes||Collection-level replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no may be implemented via Amazon Elastic MapReduce (Amazon EMR)||ES-Hadoop Connector||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Immediate Consistency can be specified for read operations
|Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all||Eventual Consistency, tunable consistency|
|Foreign keys Referential integrity||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID ACID across one or more tables within a single AWS account and region||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||Memcached and Redis integration||yes|
|User concepts Access control||Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)||Key-based authentication|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
Cloud-based DBMS's popularity grows at high rates The popularity of cloud-based DBMSs has increased tenfold in four years Increased popularity for consuming DBMS services out of the cloud
The popularity of cloud-based DBMSs has increased tenfold in four years Increased popularity for consuming DBMS services out of the cloud
Increased popularity for consuming DBMS services out of the cloud
PostgreSQL is the DBMS of the Year 2017 Elasticsearch moved into the top 10 most popular database management systems MySQL, PostgreSQL and Redis are the winners of the March ranking
Elasticsearch moved into the top 10 most popular database management systems MySQL, PostgreSQL and Redis are the winners of the March ranking
MySQL, PostgreSQL and Redis are the winners of the March ranking
|Recent citations in the news|
Global NoSQL Database Market Trend  | Market Cap Expected to Reach New Record
Improve performance and reduce costs in AWS with forever caching ...
New AWS .NET Distributed Cache Provider for DynamoDB in Preview
Farewell EC2-Classic, it's been swell
DynamoDB Data Transformation Safety: from Manual Toil to ...
provided by Google News
Revolutionizing enterprise search: How Elasticsearch and Cisco ...
Elastic Offers AI Assistant for AIOps to Reduce Learning Curves and ...
Elastic to Present in Upcoming Investor Conference
Does your enterprise need a vector database for LLM search?
Somehow OpenSearch has succeeded
provided by Google News
Qdrant available to Government Agencies through Palantir FedStart ...
Qdrant: Open-Source Vector Search Engine with Managed Cloud ...
golang 结合cobra 使用chatgpt qdrant 实现ai知识库cli_潇湘莫大的博客
This AI Research Presents Lucene Integration for Powerful Vector Search with OpenAI Embeddings
provided by Google News
Senior QA Engineer
Senior Python Developer
Infrastructure Engineer (Remote) - US
Software Engineer, Backend
AWS Cloud Engineer
Elasticsearch Developer (Hybrid)
Kafka Support Engineer
Senior Software Developer - Platform
Share this page