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DBMS > AlaSQL vs. Apache Druid vs. Google Cloud Datastore vs. Tigris

System Properties Comparison AlaSQL vs. Apache Druid vs. Google Cloud Datastore vs. Tigris

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Druid  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionJavaScript DBMS libraryOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store
Relational DBMS
Relational DBMS
Time Series DBMS
Document storeDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitealasql.orgdruid.apache.orgcloud.google.com/­datastorewww.tigrisdata.com
Technical documentationgithub.com/­AlaSQL/­alasqldruid.apache.org/­docs/­latest/­designcloud.google.com/­datastore/­docswww.tigrisdata.com/­docs
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation and contributorsGoogleTigris Data, Inc.
Initial release2014201220082022
Current release29.0.1, April 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache license v2commercialOpen Source infoApache Version 2.0
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 languageJavaScriptJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
hostedLinux
macOS
Windows
Data schemeschema-freeyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or datenoyesyes, details hereyes
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 indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL for queryingSQL-like query language (GQL)no
APIs and other access methodsJavaScript APIJDBC
RESTful HTTP/JSON API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesJavaScriptClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresnonousing Google App Engineno
TriggersyesnoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HDFS, S3 or other storage enginesMulti-source replication using Paxosyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnoRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles

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More resources
AlaSQLApache DruidGoogle Cloud DatastoreTigris
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