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DBMS > AlaSQL vs. Google Cloud Bigtable vs. H2 vs. Quasardb

System Properties Comparison AlaSQL vs. Google Cloud Bigtable vs. H2 vs. Quasardb

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonH2  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionJavaScript DBMS libraryGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Distributed, high-performance timeseries database
Primary database modelDocument store
Relational DBMS
Key-value store
Wide column store
Relational DBMSTime Series DBMS
Secondary database modelsSpatial 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
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitealasql.orgcloud.google.com/­bigtablewww.h2database.comquasar.ai
Technical documentationgithub.com/­AlaSQL/­alasqlcloud.google.com/­bigtable/­docswww.h2database.com/­html/­main.htmldoc.quasar.ai/­master
DeveloperAndrey Gershun & Mathias R. WulffGoogleThomas Muellerquasardb
Initial release2014201520052009
Current release2.2.220, July 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedAll OS with a Java VMBSD
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyesyes infointeger and binary
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 indexesnonoyesyes infowith tags
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyesSQL-like query language
APIs and other access methodsJavaScript APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
HTTP API
Supported programming languagesJavaScriptC#
C++
Go
Java
JavaScript (Node.js)
Python
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoJava Stored Procedures and User-Defined Functionsno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoTransient mode
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
AlaSQLGoogle Cloud BigtableH2Quasardb
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