DB-EnginesExtremeDB: database for embedded systemsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Neptune vs. Faircom DB vs. Solr

System Properties Comparison Amazon Neptune vs. Faircom DB vs. Solr

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#116  Overall
#8  Graph DBMS
#5  RDF stores
Score0.45
Rank#246  Overall
#38  Key-value stores
#116  Relational DBMS
Score51.79
Rank#20  Overall
#3  Search engines
Websiteaws.amazon.com/­neptunewww.faircom.com/­products/­faircom-dblucene.apache.org/­solr
Technical documentationaws.amazon.com/­neptune/­developer-resourceslearn.faircomcorp.com/­developers/­documentation_directorylucene.apache.org/­solr/­resources.html
DeveloperAmazonFairCom CorporationApache Software Foundation
Initial release201719792006
Current releaseV12, November 20208.9.0, June 2021
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++Java
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyes infosupports customizable data types and automatic typing
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.nonoyes
Secondary indexesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsSolr Parallel SQL Interface
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++Java plugins
Triggersnoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually Consistentoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restYes, 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.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Fine grained access rights according to SQL-standard with additional protections for filesyes
More information provided by the system vendor
Amazon NeptuneFaircom DB infoformerly c-treeACESolr
Specific characteristicsAchieve Hundreds of Thousands of Transactions Per Second on A Single Database Server...
» more
Competitive advantagesTop Features SQL Key-value store and navigational NoSQL API Indexed binary objects...
» more
Typical application scenariosReal-time transaction processing solutions leverage FairCom DB because its NoSQL...
» more
Key customersMicrosoft, UPS, Verizon, Motorola, Commvault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
Licensing and pricing modelsJust as the technical aspects of FairCom DB are flexible to meet operation requirements,...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon NeptuneFaircom DB infoformerly c-treeACESolr
DB-Engines blog posts

Elasticsearch replaced Solr as the most popular search engine
12 January 2016, Paul Andlinger

Enterprise Search Engines almost double their popularity in the last 12 months
2 July 2014, Paul Andlinger

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

Fit for purpose: The case for the purpose-built database
26 July 2021, The Register

Introducing Tom Sawyer Graph Database Browser on Microsoft Azure Marketplace
25 July 2021, Illinoisnewstoday.com

Key Takeaways: The 2021 Gartner Market Guide for Graph Database Management Solutions
16 July 2021, Solutions Review

Announcing Tom Sawyer Graph Database Browser on Microsoft Azure Marketplace
12 July 2021, EIN News

Catching up with Amazon Neptune
26 November 2019, ZDNet

provided by Google News

FairCom kicks off new era of database technology USA - English Brazil - Português
10 November 2020, PRNewswire

provided by Google News

Solar Alliance and Boyd CAT launch joint development initiative in U.S. Southeast Solar Alliance is now the exclusive solar provider to Boyd CAT in Kentucky with a partnership that will accelerate solar adoption across the region
7 July 2021, Financial Post

Over a million households have been affected by Supplier of Last Resort process in last 2.5 years
19 July 2021, This is Money

Talroo Energizes Solr Search Engine with Lucidworks
30 April 2021, Destination CRM

SOLR, AUB Secular Club members discuss connecting global student activism
4 May 2021, Daily Northwestern

What is Apache Solr? And why you should use it
20 July 2017, InfoWorld

provided by Google News

Job opportunities

Amazon Neptune, Product Leader
Amazon Dev Center U.S., Inc., Seattle, WA

Front End Engineer: Amazon Neptune Workbench
Amazon Dev Center U.S., Inc., Seattle, WA

Software Dev Engineer - Amazon Neptune Platform
Amazon Dev Center U.S., Inc., Seattle, WA

Software Dev Engineer: Amazon Neptune Workbench
Amazon Dev Center U.S., Inc., Seattle, WA

Amazon Neptune - Software Dev Engineer
Amazon Dev Center U.S., Inc., Bellevue, WA

Software Engineer
FairCom, Salt Lake City, UT

Senior Developer and QA Engineer
FairCom, Salt Lake City, UT

Senior Software Engineer
FairCom, Columbia, MO

Account Executive
FairCom, Salt Lake City, UT

Senior Developer and QA Engineer
FairCom, Columbia, MO

Solr Engineer-SME2
Jacobs, Chantilly, VA

Sitecore Developer
Erie Insurance, Erie, PA

Developer
TCS, Cincinnati, OH

PHP Developer
Guidepoint Global, New York, NY

Senior Software Engineer-Python, Webservices, Solr
SiriusXM, Oakland, CA

jobs by Indeed



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database machine learning. Try Vertica for free with no time limit.

Present your product here