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DBMS > Apache Doris vs. Apache Drill vs. dBASE vs. Google Cloud Bigtable vs. RavenDB

System Properties Comparison Apache Doris vs. Apache Drill vs. dBASE vs. Google Cloud Bigtable vs. RavenDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Drill  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StoragedBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSKey-value store
Wide column store
Document store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score2.92
Rank#101  Overall
#18  Document stores
Websitedoris.apache.org
github.com/­apache/­doris
drill.apache.orgwww.dbase.comcloud.google.com/­bigtableravendb.net
Technical documentationgithub.com/­apache/­doris/­wikidrill.apache.org/­docswww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docsravendb.net/­docs
DeveloperApache Software Foundation, originally contributed from BaiduApache Software FoundationAsthon TateGoogleHibernating Rhinos
Initial release20172012197920152010
Current release1.2.2, February 20231.20.3, January 2023dBASE 2019, 20195.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercialcommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#
Server operating systemsLinuxLinux
OS X
Windows
DOS infodBase Classic
Windows infodBase Pro
hostedLinux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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 indexesyesnoyesnoyes
SQL infoSupport of SQLyesSQL SELECT statement is SQL:2003 compliantnonoSQL-like query language (RQL)
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesJavaC++dBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsno infoThe IDE can access stored procedures in other database systems.noyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic single-row operationsACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noDepending on the underlying data sourceno
User concepts infoAccess controlfine grained access rights according to SQL-standardDepending on the underlying data sourceAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Authorization levels configured per client per database

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More resources
Apache DorisApache DrilldBASEGoogle Cloud BigtableRavenDB
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