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DBMS > AlaSQL vs. Databend vs. Google Cloud Datastore vs. H2 vs. XTDB

System Properties Comparison AlaSQL vs. Databend vs. Google Cloud Datastore vs. H2 vs. XTDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDatabend  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonH2  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionJavaScript DBMS libraryAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument storeRelational DBMSDocument store
Secondary database modelsSpatial 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
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitealasql.orggithub.com/­datafuselabs/­databend
www.databend.com
cloud.google.com/­datastorewww.h2database.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.databend.comcloud.google.com/­datastore/­docswww.h2database.com/­html/­main.htmlwww.xtdb.com/­docs
DeveloperAndrey Gershun & Mathias R. WulffDatabend LabsGoogleThomas MuellerJuxt Ltd.
Initial release20142021200820052019
Current release1.0.59, April 20232.2.220, July 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptRustJavaClojure
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hosted
Linux
macOS
hostedAll OS with a Java VMAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyes, details hereyesyes, extensible-data-notation format
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.nonononono
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesSQL-like query language (GQL)yeslimited SQL, making use of Apache Calcite
APIs and other access methodsJavaScript APICLI Client
JDBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesJavaScriptGo
Java
JavaScript (Node.js)
Python
Rust
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaClojure
Java
Server-side scripts infoStored proceduresnonousing Google App EngineJava Stored Procedures and User-Defined Functionsno
TriggersyesnoCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication using PaxosWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
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 pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageyesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
AlaSQLDatabendGoogle Cloud DatastoreH2XTDB infoformerly named Crux
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