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DBMS > Amazon DynamoDB vs. Fauna vs. Google BigQuery vs. Tarantool vs. WakandaDB

System Properties Comparison Amazon DynamoDB vs. Fauna vs. Google BigQuery vs. Tarantool vs. WakandaDB

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonTarantool  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudFauna 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.Large scale data warehouse service with append-only tablesIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSDocument store
Key-value store
Relational DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
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
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Score0.10
Rank#356  Overall
#17  Object oriented DBMS
Websiteaws.amazon.com/­dynamodbfauna.comcloud.google.com/­bigquerywww.tarantool.iowakanda.github.io
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.fauna.comcloud.google.com/­bigquery/­docswww.tarantool.io/­en/­docwakanda.github.io/­doc
DeveloperAmazonFauna, Inc.GoogleVKWakanda SAS
Initial release20122014201020082012
Current release2.10.0, May 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC and C++C++, JavaScript
Server operating systemshostedhostedhostedBSD
Linux
macOS
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyes
Typing infopredefined data types such as float or dateyesnoyesstring, double, decimal, uuid, integer, blob, boolean, datetimeyes
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 indexesyesyesnoyes
SQL infoSupport of SQLnonoyesFull-featured ANSI SQL supportno
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIRESTful HTTP/JSON APIOpen binary protocolRESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions infoin JavaScriptLua, C and SQL stored proceduresyes
Triggersyes infoby integration with AWS Lambdanonoyes, before/after data modification events, on replication events, client session eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingnoneSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
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 regionACIDno infoSince BigQuery is designed for querying dataACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyesyesyesyes, write ahead loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes, full featured in-memory storage engine with persistenceno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Identity management, authentication, and access controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
yes

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More resources
Amazon DynamoDBFauna infopreviously named FaunaDBGoogle BigQueryTarantoolWakandaDB
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