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DBMS > Amazon DynamoDB vs. Apache Impala vs. EXASOL

System Properties Comparison Amazon DynamoDB vs. Apache Impala vs. EXASOL

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Impala  Xexclude from comparisonEXASOL  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAnalytic DBMS for HadoopHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score70.95
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score12.57
Rank#40  Overall
#24  Relational DBMS
Score1.71
Rank#136  Overall
#62  Relational DBMS
Websiteaws.amazon.com/­dynamodbimpala.apache.orgwww.exasol.com
Technical documentationdocs.aws.amazon.com/­dynamodbimpala.apache.org/­impala-docs.htmlwww.exasol.com/­resources
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaExasol
Initial release201220132000
Current release4.1.0, June 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
.Net
JDBC
ODBC
WebSocket
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBCJava
Lua
Python
R
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceuser defined functions
Triggersyes infoby integration with AWS Lambdanoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoquery execution via MapReduceyes infoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
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 regionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon DynamoDBApache ImpalaEXASOL
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Simplify cross-account access control with Amazon DynamoDB using resource-based policies
20 March 2024, AWS Blog

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28 November 2023, AWS Blog

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20 March 2024, AWS Blog

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