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DBMS > Apache Drill vs. Cloudflare Workers KV vs. GridGain vs. openGauss vs. Teradata Aster

System Properties Comparison Apache Drill vs. Cloudflare Workers KV vs. GridGain vs. openGauss vs. Teradata Aster

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGridGain  Xexclude from comparisonopenGauss  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.GridGain is an in-memory computing platform, built on Apache IgniteAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Relational DBMS
Key-value storeKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websitedrill.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvwww.gridgain.comgitee.com/­opengauss
opengauss.org
Technical documentationdrill.apache.org/­docsdevelopers.cloudflare.com/­kv/­apiwww.gridgain.com/­docs/­index.htmldocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperApache Software FoundationCloudflareGridGain Systems, Inc.Huawei and openGauss communityTeradata
Initial release20122018200720192005
Current release1.20.3, January 2023GridGain 8.5.13.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC, C++, Java
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
LinuxLinux
Data schemeschema-freeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyesnoyes infoin Aster File Store
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoANSI-99 for query and DML statements, subset of DDLANSI SQL 2011yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Proprietary protocol
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functionsnoyes (compute grid and cache interceptors can be used instead)yesR packages
Triggersnonoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range, list and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Source-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenoyesnono
User concepts infoAccess controlDepending on the underlying data sourceSecurity Hooks for custom implementationsAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache DrillCloudflare Workers KVGridGainopenGaussTeradata Aster
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