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DBMS > Amazon Neptune vs. Apache Impala vs. dBASE vs. Faircom DB vs. Graphite

System Properties Comparison Amazon Neptune vs. Apache Impala vs. dBASE vs. Faircom DB vs. Graphite

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Impala  Xexclude from comparisondBASE  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonGraphite  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAnalytic DBMS for HadoopdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called Whisper
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSKey-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
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Websiteaws.amazon.com/­neptuneimpala.apache.orgwww.dbase.comwww.faircom.com/­products/­faircom-dbgithub.com/­graphite-project/­graphite-web
Technical documentationaws.amazon.com/­neptune/­developer-resourcesimpala.apache.org/­impala-docs.htmlwww.dbase.com/­support/­knowledgebasedocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlgraphite.readthedocs.io
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaAsthon TateFairCom CorporationChris Davis
Initial release20172013197919792006
Current release4.1.0, June 2022dBASE 2019, 2019V12, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercial infoRestricted, free version availableOpen Source infoApache 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++Python
Server operating systemshostedLinuxDOS infodBase Classic
Windows infodBase Pro
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
Unix
Data schemeschema-freeyesyesschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI SQL Types, JSON, typed binary structuresNumeric data only
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
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes, ANSI SQL with proprietary extensionsno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
none infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
HTTP API
Sockets
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCdBase proprietary IDE.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceno infoThe IDE can access stored procedures in other database systems.yes info.Net, JavaScript, C/C++no
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnone
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 factornoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
none
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infonot for dBase internal data, but IDE does support transactions when accessing external DBMStunable from ACID to Eventually Consistentno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infolocking
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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 KerberosAccess rights for users and rolesFine grained access rights according to SQL-standard with additional protections for filesno

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More resources
Amazon NeptuneApache ImpaladBASEFaircom DB infoformerly c-treeACEGraphite
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