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DBMS > AlaSQL vs. Dgraph vs. Fujitsu Enterprise Postgres vs. Google Cloud Bigtable

System Properties Comparison AlaSQL vs. Dgraph vs. Fujitsu Enterprise Postgres vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDgraph  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionJavaScript DBMS libraryDistributed and scalable native Graph DBMSEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelDocument store
Relational DBMS
Graph DBMSRelational DBMSKey-value store
Wide column store
Secondary database modelsDocument store
Spatial 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
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Websitealasql.orgdgraph.iowww.postgresql.fastware.comcloud.google.com/­bigtable
Technical documentationgithub.com/­AlaSQL/­alasqldgraph.io/­docswww.postgresql.fastware.com/­product-manualscloud.google.com/­bigtable/­docs
DeveloperAndrey Gershun & Mathias R. WulffDgraph Labs, Inc.PostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogle
Initial release201420162015
Current releaseFujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptGoC
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Linux
Windows
hosted
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nonono
Secondary indexesnoyesyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyesno
APIs and other access methodsJavaScript APIGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesJavaScriptC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyespartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication via RaftSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDAtomic single-row operations
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnono infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
AlaSQLDgraphFujitsu Enterprise PostgresGoogle Cloud Bigtable
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
AlaSQLDgraphFujitsu Enterprise PostgresGoogle Cloud Bigtable
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