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DBMS > Amazon Neptune vs. Google Cloud Bigtable vs. HBase vs. OpenEdge vs. Titan

System Properties Comparison Amazon Neptune vs. Google Cloud Bigtable vs. HBase vs. OpenEdge vs. Titan

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHBase  Xexclude from comparisonOpenEdge  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionFast, reliable graph database built for the cloudGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Wide-column store based on Apache Hadoop and on concepts of BigTableApplication development environment with integrated database management systemTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelGraph DBMS
RDF store
Key-value store
Wide column store
Wide column storeRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Websiteaws.amazon.com/­neptunecloud.google.com/­bigtablehbase.apache.orgwww.progress.com/­openedgegithub.com/­thinkaurelius/­titan
Technical documentationaws.amazon.com/­neptune/­developer-resourcescloud.google.com/­bigtable/­docshbase.apache.org/­book.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestgithub.com/­thinkaurelius/­titan/­wiki
DeveloperAmazonGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetProgress Software CorporationAurelius, owned by DataStax
Initial release20172015200819842012
Current release2.3.4, January 2021OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2commercialOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedhostedLinux
Unix
Windows infousing Cygwin
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesnooptions to bring your own types, AVROyesyes
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
Secondary indexesnononoyesyes
SQL infoSupport of SQLnononoyes infoclose to SQL 92no
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Progress proprietary ABL (Advanced Business Language)Clojure
Java
Python
Server-side scripts infoStored proceduresnonoyes infoCoprocessors in Javayesyes
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning infosince Version 11.4yes infovia pluggable storage backends
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.Internal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnoyes infovia Faunus, a graph analytics engine
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 Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers and groupsUser authentification and security via Rexster Graph Server

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Amazon NeptuneGoogle Cloud BigtableHBaseOpenEdgeTitan
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