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DBMS > Druid vs. Google Cloud Firestore vs. MemSQL

System Properties Comparison Druid vs. Google Cloud Firestore vs. MemSQL

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Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMemSQL  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataCloud 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.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage
Primary database modelRelational DBMS
Time Series DBMS
Document storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.17
Rank#118  Overall
#59  Relational DBMS
#7  Time Series DBMS
Score7.82
Rank#50  Overall
#9  Document stores
Score5.50
Rank#64  Overall
#35  Relational DBMS
Websitedruid.apache.orgfirebase.google.com/­products/­firestorewww.memsql.com
Technical documentationdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­firestoredocs.memsql.com
DeveloperMetamarkets Group and contributorsGoogleMemSQL Inc.
Initial release201220172013
Current release7.1.4, July 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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MemSQL Helios: The world's fastest, most capable cloud database for operational analytics, machine learning, & AI. Available instantly with multi-cloud and hybrid-cloud capabilities.
Implementation languageJavaC++
Server operating systemsLinux
OS X
Unix
hostedLinux info64 bit version required
Data schemeyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL support via Apache Calcite adapternoyes, but no triggers and foreign keys
APIs and other access methodsJSON over HTTPAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsyes
Triggersnoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency only within each node
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID infoOnly isolation level: READ COMMITED
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.noyes
User concepts infoAccess controlno infoavailable via extensionsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standard

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More resources
DruidGoogle Cloud FirestoreMemSQL
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