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DBMS > AlaSQL vs. Apache Drill vs. Drizzle vs. etcd vs. Google Cloud Spanner

System Properties Comparison AlaSQL vs. Apache Drill vs. Drizzle vs. etcd vs. Google Cloud Spanner

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Drill  Xexclude from comparisonDrizzle  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Spanner  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.
DescriptionJavaScript DBMS librarySchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A distributed reliable key-value storeA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.
Primary database modelDocument store
Relational DBMS
Document store
Relational DBMS
Relational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score2.89
Rank#103  Overall
#52  Relational DBMS
Websitealasql.orgdrill.apache.orgetcd.io
github.com/­etcd-io/­etcd
cloud.google.com/­spanner
Technical documentationgithub.com/­AlaSQL/­alasqldrill.apache.org/­docsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cloud.google.com/­spanner/­docs
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationDrizzle project, originally started by Brian AkerGoogle
Initial release2014201220082017
Current release1.20.3, January 20237.2.4, September 20123.4, August 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2Open Source infoGNU GPLOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++Go
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
FreeBSD
Linux
OS X
FreeBSD
Linux
Windows infoexperimental
hosted
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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 indexesnonoyesnoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL SELECT statement is SQL:2003 compliantyes infowith proprietary extensionsnoyes infoQuery statements complying to ANSI 2011
APIs and other access methodsJavaScript APIJDBC
ODBC
RESTful HTTP API
JDBCgRPC
JSON over HTTP
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
Supported programming languagesJavaScriptC++C
C++
Java
PHP
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsnonono
Triggersyesnono infohooks for callbacks inside the server can be used.yes, watching key changesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACIDnoACID infoStrict serializable isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourcenono
User concepts infoAccess controlnoDepending on the underlying data sourcePluggable authentication mechanisms infoe.g. LDAP, HTTPnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
AlaSQLApache DrillDrizzleetcdGoogle Cloud Spanner
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