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DBMS > CrateDB vs. etcd vs. Google Cloud Firestore vs. LeanXcale

System Properties Comparison CrateDB vs. etcd vs. Google Cloud Firestore vs. LeanXcale

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneA distributed reliable key-value storeCloud 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.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMS
Search engine
Key-value storeDocument storeKey-value store
Relational DBMS
Secondary database modelsDocument store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#179  Overall
#87  Relational DBMS
#12  Search engines
Score11.54
Rank#46  Overall
#5  Key-value stores
Score8.92
Rank#52  Overall
#9  Document stores
Score0.23
Rank#283  Overall
#41  Key-value stores
#132  Relational DBMS
Websitecrate.ioetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestorewww.leanxcale.com
Technical documentationcrate.io/­docsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestore
DeveloperCrateGoogleLeanXcale
Initial release201320172015
Current release3.4, August 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsAll OS with a Java 7 (and higher) VMFreeBSD
Linux
Windows infoexperimental
hosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesnoyes
SQL infoSupport of SQLyes, but no triggers and constraintsnonoyes infothrough Apache Derby
APIs and other access methodsADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
gRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
Java
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes, Firebase Rules & Cloud Functions
Triggersnoyes, watching key changesyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlrights management via user accountsnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.
More information provided by the system vendor
CrateDBetcdGoogle Cloud FirestoreLeanXcale
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Full ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Linear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Hybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
banking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
15 beta testers
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
annual fee covering license and support based on number of physical cores
» more

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More resources
CrateDBetcdGoogle Cloud FirestoreLeanXcale
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