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DBMS > Apache Doris vs. Google Cloud Bigtable vs. ObjectBox vs. Rockset

System Properties Comparison Apache Doris vs. Google Cloud Bigtable vs. ObjectBox vs. Rockset

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonObjectBox  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Extremely fast embedded database for small devices, IoT and MobileA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSKey-value store
Wide column store
Object oriented DBMSDocument store
Secondary database modelsTime Series DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websitedoris.apache.org
github.com/­apache/­doris
cloud.google.com/­bigtableobjectbox.iorockset.com
Technical documentationgithub.com/­apache/­doris/­wikicloud.google.com/­bigtable/­docsdocs.objectbox.iodocs.rockset.com
DeveloperApache Software Foundation, originally contributed from BaiduGoogleObjectBox LimitedRockset
Initial release2017201520172019
Current release1.2.2, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++
Server operating systemsLinuxhostedAndroid
iOS
Linux
macOS
Windows
hosted
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesdynamic typing
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.nononono infoingestion from XML files supported
Secondary indexesyesnoyesall fields are automatically indexed
SQL infoSupport of SQLyesnonoRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
MySQL client
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary native APIHTTP REST
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesonline/offline synchronization between client and serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Apache DorisGoogle Cloud BigtableObjectBoxRockset
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More resources
Apache DorisGoogle Cloud BigtableObjectBoxRockset
Recent citations in the news

Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?
5 June 2024, hackernoon.com

Workload Isolation in Apache Doris: Optimizing Resource Management and Performance
25 May 2024, hackernoon.com

How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second
1 September 2023, KDnuggets

Streamlining Data Operations: How a Grocery Chain Optimizes Workloads with Apache Doris
16 May 2024, hackernoon.com

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

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31 January 2022, InfoQ.com

Google scales up Cloud Bigtable NoSQL database
27 January 2022, TechTarget

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

Google introduces Cloud Bigtable managed NoSQL database to process data at scale
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20 May 2024, Blocks and Files

Rockset launches native support for hybrid vector and text search to power AI apps
16 May 2024, SiliconANGLE News

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