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DBMS > Amazon Neptune vs. Apache Impala vs. Faircom DB vs. Oracle NoSQL vs. Warp 10

System Properties Comparison Amazon Neptune vs. Apache Impala vs. Faircom DB vs. Oracle NoSQL vs. Warp 10

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Impala  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAnalytic DBMS for HadoopNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Relational DBMS
Document store
Key-value store
Relational DBMS
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteaws.amazon.com/­neptuneimpala.apache.orgwww.faircom.com/­products/­faircom-dbwww.oracle.com/­database/­nosql/­technologies/­nosqlwww.warp10.io
Technical documentationaws.amazon.com/­neptune/­developer-resourcesimpala.apache.org/­impala-docs.htmldocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaFairCom CorporationOracleSenX
Initial release20172013197920112015
Current release4.1.0, June 2022V12, November 202024.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercial infoRestricted, free version availableOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ANSI C, C++JavaJava
Server operating systemshostedLinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
Solaris SPARC/x86
Linux
OS X
Windows
Data schemeschema-freeyesschema free, schema optional, schema required, partial schema,Support Fixed schema and Schema-less deployment with the ability to interoperate between them.schema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI SQL Types, JSON, typed binary structuresoptionalyes
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.nonononono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes, ANSI SQL with proprietary extensionsSQL-like DML and DDL statementsno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
RESTful HTTP APIHTTP API
Jupyter
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes info.Net, JavaScript, C/C++noyes infoWarpScript
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingSharding infobased on HBase
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 factoryes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Electable source-replica replication per shard. Support distributed global deployment with Multi-region table featureselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnotunable from ACID to Eventually Consistentconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infooff heap cacheyes
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 infobased on Apache Sentry and KerberosFine grained access rights according to SQL-standard with additional protections for filesAccess rights for users and rolesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Amazon NeptuneApache ImpalaFaircom DB infoformerly c-treeACEOracle NoSQLWarp 10
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