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DBMS > Brytlyt vs. GeoSpock vs. Google Cloud Bigtable vs. MonetDB vs. PieCloudDB

System Properties Comparison Brytlyt vs. GeoSpock vs. Google Cloud Bigtable vs. MonetDB vs. PieCloudDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMonetDB  Xexclude from comparisonPieCloudDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLSpatial and temporal data processing engine for extreme data scaleGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A relational database management system that stores data in columnsA cloud-native analytic database platform with new technologoy for elastic MPP
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.25
Rank#304  Overall
#138  Relational DBMS
Websitebrytlyt.iogeospock.comcloud.google.com/­bigtablewww.monetdb.orgwww.openpie.com
Technical documentationdocs.brytlyt.iocloud.google.com/­bigtable/­docswww.monetdb.org/­Documentation
DeveloperBrytlytGeoSpockGoogleMonetDB BVOpenPie
Initial release201620152004
Current release5.0, August 20232.0, September 2019Dec2023 (11.49), December 20232.1, January 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAJava, JavascriptC
Server operating systemsLinux
OS X
Windows
hostedhostedFreeBSD
Linux
OS X
Solaris
Windows
hosted
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyestemporal, categoricalnoyesyes
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)noyes infoSQL 2003 with some extensionsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
CLI Client
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
PL/SQL
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnonoyes, in SQL, C, Ruser defined functions
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding via remote tablesyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesnone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
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 Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardUser Roles and pluggable authentication with full SQL Standard
More information provided by the system vendor
BrytlytGeoSpockGoogle Cloud BigtableMonetDBPieCloudDB
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
BrytlytGeoSpockGoogle Cloud BigtableMonetDBPieCloudDB
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