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DBMS > Apache Drill vs. BigchainDB vs. GigaSpaces vs. Google Cloud Bigtable vs. Oracle Berkeley DB

System Properties Comparison Apache Drill vs. BigchainDB vs. GigaSpaces vs. Google Cloud Bigtable vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonBigchainDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Widely used in-process key-value store
Primary database modelDocument store
Relational DBMS
Document storeDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Wide column store
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitedrill.apache.orgwww.bigchaindb.comwww.gigaspaces.comcloud.google.com/­bigtablewww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdrill.apache.org/­docsbigchaindb.readthedocs.io/­en/­latestdocs.gigaspaces.com/­latest/­landing.htmlcloud.google.com/­bigtable/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperApache Software FoundationGigaspaces TechnologiesGoogleOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20122016200020151994
Current release1.20.3, January 202315.5, September 202018.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL v3Open Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infocommercial 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 languagePythonJava, C++, .NetC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Solaris
Windows
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesnono
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 infoXML can be used for describing objects metadatanoyes infoonly with the Berkeley DB XML edition
Secondary indexesnoyesnoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoSQL-99 for query and DML statementsnoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
CLI Client
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC++Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C++
Java
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsyesnono
Triggersnoyes, event driven architecturenoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Internal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoMap-Reduce pattern can be built with XAP task executorsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnoyes
User concepts infoAccess controlDepending on the underlying data sourceyesRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Apache DrillBigchainDBGigaSpacesGoogle Cloud BigtableOracle Berkeley DB
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