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DBMS > Amazon DynamoDB vs. Databricks vs. Newts vs. TerminusDB

System Properties Comparison Amazon DynamoDB vs. Databricks vs. Newts vs. TerminusDB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDatabricks  Xexclude from comparisonNewts  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Time Series DBMS based on CassandraScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Time Series DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteaws.amazon.com/­dynamodbwww.databricks.comopennms.github.io/­newtsterminusdb.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.databricks.comgithub.com/­OpenNMS/­newts/­wikiterminusdb.github.io/­terminusdb/­#
DeveloperAmazonDatabricksOpenNMS GroupDataChemist Ltd.
Initial release2012201320142018
Current release11.0.0, January 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaProlog, Rust
Server operating systemshostedhostedLinux
OS X
Windows
Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
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.yesnono
Secondary indexesyesyesno
SQL infoSupport of SQLnowith Databricks SQLnoSQL-like query language (WOQL)
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Python
R
Scala
JavaJavaScript
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoyes
Triggersyes infoby integration with AWS Lambdanoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infobased on CassandraJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
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 regionACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noRole-based access control
More information provided by the system vendor
Amazon DynamoDBDatabricksNewtsTerminusDB infoformer name was DataChemist
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon DynamoDBDatabricksNewtsTerminusDB infoformer name was DataChemist
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