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DBMS > Amazon DynamoDB vs. Apache Impala vs. Fauna vs. Google Cloud Bigtable vs. Trino

System Properties Comparison Amazon DynamoDB vs. Apache Impala vs. Fauna vs. Google Cloud Bigtable vs. Trino

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Impala  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAnalytic DBMS for HadoopFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument storeDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websiteaws.amazon.com/­dynamodbimpala.apache.orgfauna.comcloud.google.com/­bigtabletrino.io
Technical documentationdocs.aws.amazon.com/­dynamodbimpala.apache.org/­impala-docs.htmldocs.fauna.comcloud.google.com/­bigtable/­docstrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaFauna, Inc.GoogleTrino Software Foundation
Initial release20122013201420152012 info2020 rebranded from PrestoSQL
Current release4.1.0, June 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageC++ScalaJava
Server operating systemshostedLinuxhostedhostedLinux
macOS infofor devlopment
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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 indexesyesyesyesnodepending on connected data-source
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonoyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBCC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceuser defined functionsnoyes, depending on connected data-source
Triggersyes infoby integration with AWS Lambdanononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoconsistent hashingShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)depending on connected data-source
Foreign keys infoReferential integritynonoyesnono
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 regionnoACIDAtomic single-row operationsdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
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 KerberosIdentity management, authentication, and access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)SQL standard access control
More information provided by the system vendor
Amazon DynamoDBApache ImpalaFauna infopreviously named FaunaDBGoogle Cloud BigtableTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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