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DBMS > Amazon DocumentDB vs. Databricks vs. Graphite

System Properties Comparison Amazon DocumentDB vs. Databricks vs. Graphite

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDatabricks  Xexclude from comparisonGraphite  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceThe 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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called Whisper
Primary database modelDocument storeDocument store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Websiteaws.amazon.com/­documentdbwww.databricks.comgithub.com/­graphite-project/­graphite-web
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.databricks.comgraphite.readthedocs.io
DeveloperDatabricksChris Davis
Initial release201920132006
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePython
Server operating systemshostedhostedLinux
Unix
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesNumeric data only
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.noyesno
Secondary indexesyesyesno
SQL infoSupport of SQLnowith Databricks SQLno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
RESTful HTTP API
HTTP API
Sockets
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Python
R
Scala
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolocking
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.no
User concepts infoAccess controlAccess rights for users and rolesno
More information provided by the system vendor
Amazon DocumentDBDatabricksGraphite
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon DocumentDBDatabricksGraphite
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Unlock the power of parallel indexing in Amazon DocumentDB
19 June 2024, AWS Blog

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16 May 2024, AWS Blog

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14 August 2024, TechCrunch

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