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DBMS > Amazon CloudSearch vs. Databricks vs. Firebase Realtime Database vs. Manticore Search

System Properties Comparison Amazon CloudSearch vs. Databricks vs. Firebase Realtime Database vs. Manticore Search

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatabricks  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionA hosted search engine 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.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Multi-storage database for search, including full-text search.
Primary database modelSearch engineDocument store
Relational DBMS
Document storeSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.29
Rank#302  Overall
#21  Search engines
Websiteaws.amazon.com/­cloudsearchwww.databricks.comfirebase.google.com/­products/­realtime-databasemanticoresearch.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.databricks.comfirebase.google.com/­docs/­databasemanual.manticoresearch.com
DeveloperAmazonDatabricksGoogle infoacquired by Google 2014Manticore Software
Initial release2012201320122017
Current release6.0, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedhostedhostedFreeBSD
Linux
macOS
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeFixed schema
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.yesnoCan index from XML
Secondary indexesyes infoall search fields are automatically indexedyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnowith Databricks SQLnoSQL-like query language
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesPython
R
Scala
Java
JavaScript
Objective-C
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregateslimited functionality with using 'rules'user defined functions
TriggersnoCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlauthentication via encrypted signaturesyes, based on authentication and database rulesno
More information provided by the system vendor
Amazon CloudSearchDatabricksFirebase Realtime DatabaseManticore Search
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon CloudSearchDatabricksFirebase Realtime DatabaseManticore Search
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