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DBMS > AlaSQL vs. Amazon CloudSearch vs. Firebase Realtime Database vs. Vertica

System Properties Comparison AlaSQL vs. Amazon CloudSearch vs. Firebase Realtime Database vs. Vertica

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionJavaScript DBMS libraryA hosted search engine service by Amazon with the data stored in Amazons cloudCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelDocument store
Relational DBMS
Search engineDocument storeRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#264  Overall
#42  Document stores
#122  Relational DBMS
Score1.86
Rank#133  Overall
#12  Search engines
Score13.60
Rank#39  Overall
#6  Document stores
Score9.62
Rank#42  Overall
#26  Relational DBMS
Websitealasql.orgaws.amazon.com/­cloudsearchfirebase.google.com/­products/­realtime-databasewww.vertica.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.aws.amazon.com/­cloudsearchfirebase.google.com/­docs/­databasevertica.com/­documentation
DeveloperAndrey Gershun & Mathias R. WulffAmazonGoogle infoacquired by Google 2014OpenText infopreviously Micro Focus and Hewlett Packard
Initial release2014201220122005
Current release12.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesyesno infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedhostedLinux
Data schemeschema-freeyesschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or datenoyesyesyes
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.nonono
Secondary indexesnoyes infoall search fields are automatically indexedyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nonoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJavaScript APIHTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesJavaScriptJava
JavaScript
Objective-C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnonolimited functionality with using 'rules'yes, PostgreSQL PL/pgSQL, with minor differences
TriggersyesnoCallbacks are triggered when data changesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infomanaged transparently by AWSMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoauthentication via encrypted signaturesyes, based on authentication and database rulesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
AlaSQLAmazon CloudSearchFirebase Realtime DatabaseVertica infoOpenText™ Vertica™
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