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DBMS > Amazon Neptune vs. Apache Drill vs. BigchainDB vs. Oracle Berkeley DB vs. SurrealDB

System Properties Comparison Amazon Neptune vs. Apache Drill vs. BigchainDB vs. Oracle Berkeley DB vs. SurrealDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Drill  Xexclude from comparisonBigchainDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsWidely used in-process key-value storeA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Document storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websiteaws.amazon.com/­neptunedrill.apache.orgwww.bigchaindb.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsurrealdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdrill.apache.org/­docsbigchaindb.readthedocs.io/­en/­latestdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlsurrealdb.com/­docs
DeveloperAmazonApache Software FoundationOracle infooriginally developed by Sleepycat, which was acquired by OracleSurrealDB Ltd
Initial release20172012201619942022
Current release1.20.3, January 202318.1.40, May 2020v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoAGPL v3Open Source infocommercial license availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC, Java, C++ (depending on the Berkeley DB edition)Rust
Server operating systemshostedLinux
OS X
Windows
LinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnonoyes
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.nononoyes infoonly with the Berkeley DB XML edition
Secondary indexesnonoyes
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantnoyes infoSQL interfaced based on SQLite is availableSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
CLI Client
RESTful HTTP API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++Go
Haskell
Java
JavaScript
Python
Ruby
.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
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restDepending on the underlying data sourceyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Depending on the underlying data sourceyesnoyes, based on authentication and database rules

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More resources
Amazon NeptuneApache DrillBigchainDBOracle Berkeley DBSurrealDB
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