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DBMS > Amazon Redshift vs. BigObject vs. Graph Engine vs. InfinityDB

System Properties Comparison Amazon Redshift vs. BigObject vs. Graph Engine vs. InfinityDB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonBigObject  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonInfinityDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsAnalytic DBMS for real-time computations and queriesA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA Java embedded Key-Value Store which extends the Java Map interface
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedGraph DBMS
Key-value store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Websiteaws.amazon.com/­redshiftbigobject.iowww.graphengine.ioboilerbay.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.bigobject.iowww.graphengine.io/­docs/­manualboilerbay.com/­infinitydb/­manual
DeveloperAmazon (based on PostgreSQL)BigObject, Inc.MicrosoftBoiler Bay Inc.
Initial release2012201520102002
Current release4.0
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC.NET and CJava
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
.NETAll OS with a Java VM
Data schemeyesyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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 indexesrestrictedyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
fluentd
ODBC
RESTful HTTP API
RESTful HTTP APIAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
F#
Visual Basic
Java
Server-side scripts infoStored proceduresuser defined functions infoin PythonLuayesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyes infoautomatically between fact table and dimension tablesnono infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnono

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More resources
Amazon RedshiftBigObjectGraph Engine infoformer name: TrinityInfinityDB
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