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 > AlaSQL vs. Alibaba Cloud Table Store vs. Amazon DynamoDB vs. Ehcache vs. Kinetica

System Properties Comparison AlaSQL vs. Alibaba Cloud Table Store vs. Amazon DynamoDB vs. Ehcache vs. Kinetica

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAlibaba Cloud Table Store  Xexclude from comparisonAmazon DynamoDB  Xexclude from comparisonEhcache  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionJavaScript DBMS libraryA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHosted, scalable database service by Amazon with the data stored in Amazons cloudA widely adopted Java cache with tiered storage optionsFully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Relational DBMS
Wide column storeDocument store
Key-value store
Key-value storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#258  Overall
#40  Document stores
#119  Relational DBMS
Score0.23
Rank#324  Overall
#12  Wide column stores
Score77.72
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score5.55
Rank#69  Overall
#8  Key-value stores
Score0.74
Rank#229  Overall
#105  Relational DBMS
Websitealasql.orgwww.alibabacloud.com/­product/­table-storeaws.amazon.com/­dynamodbwww.ehcache.orgwww.kinetica.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.alibabacloud.com/­help/­en/­tablestoredocs.aws.amazon.com/­dynamodbwww.ehcache.org/­documentationdocs.kinetica.com
DeveloperAndrey Gershun & Mathias R. WulffAlibabaAmazonTerracotta Inc, owned by Software AGKinetica
Initial release20142016201220092012
Current release3.10.0, March 20227.1, August 2021
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercialcommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaC, C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedhostedAll OS with a Java VMLinux
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononono
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nononoSQL-like DML and DDL statements
APIs and other access methodsJavaScript APIHTTP APIRESTful HTTP APIJCacheJDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaScriptJava
Python
.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
JavaC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonononouser defined functions
Triggersyesnoyes infoby integration with AWS Lambdayes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceyesyes infoby using Terracotta ServerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Tunable Consistency (Strong, Eventual, Weak)Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageAtomic single-row operationsACID infoACID across one or more tables within a single AWS account and regionyes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoAccess rights based on subaccounts and tokensAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users and roles on table level

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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
AlaSQLAlibaba Cloud Table StoreAmazon DynamoDBEhcacheKinetica
DB-Engines blog posts

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

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Recent citations in the news

Create a Marvel Database with SQL and Javascript, the easy way
2 July 2019, Towards Data Science

HarperDB - How and Why We Built It From The Ground Up on NodeJS
28 February 2021, hackernoon.com

Multi faceted data exploration in the browser using Leaflet and amCharts
3 May 2020, Towards Data Science

provided by Google News

Gartner’s Magic Quadrant for Cloud Database Management Systems
9 December 2020, CRN

Top data analytics tools comparison: Alibaba Cloud, AWS, Azure, Google Cloud, IBM
5 December 2019, Wire19

25 Best Cloud Service Providers (Public and Private) in 2024
4 June 2023, CybersecurityNews

provided by Google News

Amazon Robotics achieves worldwide scale and improves engineering efficiency by 35% with Amazon DynamoDB ...
28 March 2024, AWS Blog

AWS Weekly Roundup — Savings Plans, Amazon DynamoDB, AWS CodeArtifact, and more — March 25, 2024 ...
25 March 2024, AWS Blog

Simplify cross-account access control with Amazon DynamoDB using resource-based policies | Amazon Web Services
20 March 2024, AWS Blog

Performant, Fine Grained Authorization at scale powered by Amazon DynamoDB | Amazon Web Services
22 March 2024, AWS Blog

Bulk update Amazon DynamoDB tables with AWS Step Functions | Amazon Web Services
20 March 2024, AWS Blog

provided by Google News

Ehcache 3.0 Released with Revamped API and Off-Heap Storage
2 May 2016, InfoQ.com

Setting Up Distributed Infinispan Cache with Hibernate and Spring
26 May 2016, dzone.com

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

Ehcache Joins Terracotta
18 August 2009, InfoQ.com

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

provided by Google News

Kinetica Elevates RAG with Fast Access to Real-Time Data
26 March 2024, Datanami

Kinetica Launches Generative AI Solution for Real-Time Inferencing Powered by NVIDIA AI Enterprise
18 March 2024, GlobeNewswire

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

Transforming spatiotemporal data analysis with GPUs and generative AI
30 October 2023, InfoWorld

Kinetica Now Free Forever in Cloud Hosted Version; Accelerate the Transition to Generative AI with SQL-GPT
16 July 2023, insideBIGDATA

provided by Google News



Share this page

Featured Products

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

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

Milvus logo

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

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Neo4j logo

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

Present your product here