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DBMS > EsgynDB vs. Google BigQuery vs. Google Cloud Bigtable vs. HarperDB vs. SQL.JS

System Properties Comparison EsgynDB vs. Google BigQuery vs. Google Cloud Bigtable vs. HarperDB vs. SQL.JS

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHarperDB  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionLarge scale data warehouse service with append-only tablesGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Port of SQLite to JavaScript
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.55
Rank#248  Overall
#38  Document stores
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitewww.esgyn.cncloud.google.com/­bigquerycloud.google.com/­bigtablewww.harperdb.iosql.js.org
Technical documentationcloud.google.com/­bigquery/­docscloud.google.com/­bigtable/­docsdocs.harperdb.io/­docssql.js.org/­documentation/­index.html
DeveloperEsgynGoogleGoogleHarperDBAlon Zakai infoenhancements implemented by others
Initial release20152010201520172012
Current release3.1, August 2021
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree community edition availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaNode.jsJavaScript
Server operating systemsLinuxhostedhostedLinux
OS X
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesschema-freedynamic schemayes
Typing infopredefined data types such as float or dateyesyesnoyes infoJSON data typesyes
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 indexesyesnonoyes
SQL infoSupport of SQLyesyesnoSQL-like data manipulation statementsyes infoSQL-92 is not fully supported
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP/JSON APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JavaScript API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
JavaScript
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions infoin JavaScriptnoCustom Functions infosince release 3.1no
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesyes infothe nodes on which a table resides can be definednone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistencynone
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataAtomic single-row operationsAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDBno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesno

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More resources
EsgynDBGoogle BigQueryGoogle Cloud BigtableHarperDBSQL.JS
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