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DBMS > Amazon Neptune vs. InfinityDB vs. IRONdb vs. Manticore Search

System Properties Comparison Amazon Neptune vs. InfinityDB vs. IRONdb vs. Manticore Search

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonInfinityDB  Xexclude from comparisonIRONdb  Xexclude from comparisonManticore Search  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudA Java embedded Key-Value Store which extends the Java Map interfaceA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityMulti-storage database for search, including full-text search.
Primary database modelGraph DBMS
RDF store
Key-value storeTime Series DBMSSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.22
Rank#312  Overall
#21  Search engines
Websiteaws.amazon.com/­neptuneboilerbay.comwww.circonus.com/solutions/time-series-database/manticoresearch.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesboilerbay.com/­infinitydb/­manualdocs.circonus.com/irondb/category/getting-startedmanual.manticoresearch.com
DeveloperAmazonBoiler Bay Inc.Circonus LLC.Manticore Software
Initial release2017200220172017
Current release4.0V0.10.20, January 20186.0, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++
Server operating systemshostedAll OS with a Java VMLinuxFreeBSD
Linux
macOS
Windows
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeFixed schema
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes infotext, numeric, histogramsInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.nononoCan index from XML
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilitynoyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonoyes, in Luauser defined functions
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneAutomatic, metric affinity per nodeSharding infoPartitioning is done manually, search queries against distributed index is supported
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.noneconfigurable replication factor, datacenter awareSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyes infoRelationships in graphsno infomanual creation possible, using inversions based on multi-value capabilitynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsnoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nonono

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More resources
Amazon NeptuneInfinityDBIRONdbManticore Search
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