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DBMS > Apache Drill vs. Apache Impala vs. Drizzle vs. Google Cloud Firestore vs. KairosDB

System Properties Comparison Apache Drill vs. Apache Impala vs. Drizzle vs. Google Cloud Firestore vs. KairosDB

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Impala  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKairosDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAnalytic DBMS for HadoopMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud 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.Distributed Time Series DBMS based on Cassandra or H2
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSDocument storeTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score6.63
Rank#54  Overall
#9  Document stores
Score0.60
Rank#238  Overall
#20  Time Series DBMS
Websitedrill.apache.orgimpala.apache.orgfirebase.google.com/­products/­firestoregithub.com/­kairosdb/­kairosdb
Technical documentationdrill.apache.org/­docsimpala.apache.org/­impala-docs.htmlfirebase.google.com/­docs/­firestorekairosdb.github.io
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by ClouderaDrizzle project, originally started by Brian AkerGoogle
Initial release20122013200820172013
Current release1.20.3, January 20234.1.0, June 20227.2.4, September 20121.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2Open Source infoGNU GPLcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsLinux
OS X
Windows
LinuxFreeBSD
Linux
OS X
hostedLinux
OS X
Windows
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like DML and DDL statementsyes infowith proprietary extensionsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
JDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesC++All languages supporting JDBC/ODBCC
C++
Java
PHP
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reducenoyes, Firebase Rules & Cloud Functionsno
Triggersnonono infohooks for callbacks inside the server can be used.yes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Multi-source replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenono
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users, groups and roles infobased on Apache Sentry and KerberosPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.simple password-based access control

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More resources
Apache DrillApache ImpalaDrizzleGoogle Cloud FirestoreKairosDB
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