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DBMS > Apache Impala vs. Google Cloud Firestore vs. HBase vs. LokiJS vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Impala vs. Google Cloud Firestore vs. HBase vs. LokiJS vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHBase  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Wide-column store based on Apache Hadoop and on concepts of BigTableIn-memory JavaScript DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSDocument storeWide column storeDocument storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.43
Rank#264  Overall
#42  Document stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteimpala.apache.orgfirebase.google.com/­products/­firestorehbase.apache.orggithub.com/­techfort/­LokiJSazure.microsoft.com/­services/­synapse-analytics
Technical documentationimpala.apache.org/­impala-docs.htmlfirebase.google.com/­docs/­firestorehbase.apache.org/­book.htmltechfort.github.io/­LokiJSdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoft
Initial release20132017200820142016
Current release4.1.0, June 20222.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaScriptC++
Server operating systemsLinuxhostedLinux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js)hosted
Data schemeyesschema-freeschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROnoyes
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.nonononono
Secondary indexesyesyesnoyes infovia viewsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnononoyes
APIs and other access methodsJDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
JavaScript APIADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScriptC#
Java
PHP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes, Firebase Rules & Cloud Functionsyes infoCoprocessors in JavaView functions in JavaScriptTransact SQL
Triggersnoyes, with Cloud Functionsyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationMulti-source replication
Source-replica replication
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceUsing Cloud Dataflowyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesSingle row ACID (across millions of columns)no infoatomic operations within a single collection possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoyes

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Apache ImpalaGoogle Cloud FirestoreHBaseLokiJSMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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