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DBMS > Amazon DynamoDB vs. Qdrant vs. Splice Machine

System Properties Comparison Amazon DynamoDB vs. Qdrant vs. Splice Machine

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonQdrant  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA 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 modelDocument store
Key-value store
Vector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score72.39
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.77
Rank#132  Overall
#8  Vector DBMS
Score0.54
Rank#242  Overall
#113  Relational DBMS
Websiteaws.amazon.com/­dynamodbgithub.com/­qdrant/­qdrant
qdrant.tech
splicemachine.com
Technical documentationdocs.aws.amazon.com/­dynamodbqdrant.tech/­documentationsplicemachine.com/­how-it-works
DeveloperAmazonQdrantSplice Machine
Initial release201220212014
Current release3.1, March 2021
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJava
Server operating systemshostedDocker
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesNumbers, 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 indexesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infoJava
Triggersyes infoby integration with AWS Lambdayes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesCollection-level replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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 controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Key-based authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon DynamoDBQdrantSplice Machine
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Recent citations in the news

Build a scalable, context-aware chatbot with Amazon DynamoDB, Amazon Bedrock, and LangChain
6 November 2024, AWS Blog

AWS Re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns For DynamoDB (DAT401) [1a006c]
9 November 2024, Vatican.va

How Channel Corporation modernized their architecture with Amazon DynamoDB, Part 2: Streams
6 November 2024, AWS Blog

AWS Re:Invent 2018: Amazon DynamoDB Deep Dive: Advanced Design Patterns For DynamoDB (DAT401) [11b37b]
8 November 2024, University of Birmingham

How Channel Corporation modernized their architecture with Amazon DynamoDB, Part 1: Motivation and approaches
6 November 2024, AWS Blog

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

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

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

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

Into the Open – Splice Machine Launches Community Edition
18 July 2016, Database Trends and Applications

Hadoop-based RDBMS Now Available from Splice
12 May 2014, Datanami

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23 August 2019, Towards Data Science

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