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Agent passport

BangDB

AI + Vector + Graph + Time-series. A converged database for Modern Apps

Category
Data
Registry category
Intelligence & ResearchBusiness Intelligence & Analytics
Vendor
BangDB
Location
Bangalore, Karnataka 560034, India
Reviews
This marketplace has no ratings
Listed on
Google Cloud Marketplace
Pricing
3 plans listed
Overall Provenance
2.9/10Low
High 7–10Moderate 3–6.9Low 0–2.9

Each fact carries one Provenance score: the average of its Disclosure and Evidence scores, the same rule the page uses for the overall score. Click any score to see the math behind it.

Vendor Provenance

Who actually operates this agent.

7.1 / 10
Data element
Answer
Provenance
Source
Legal entity
BangDB
The matched company record names IQLECT Software Solutions Pvt Ltd
High
HQ address
Bangalore, Karnataka 560034, India
From outside company data
High
BigPicture company data for IQLECT Software Solutions Pvt Ltd (bangdb.com), fetched 2026-09-20
Ownership
IQLECT Software Solutions Pvt Ltd is a privately held company
From outside company data
High
BigPicture company data for IQLECT Software Solutions Pvt Ltd (bangdb.com), fetched 2026-09-20
Industry
Software & Computer Services / Software
Sector Technology
High
BigPicture company data for IQLECT Software Solutions Pvt Ltd (bangdb.com), fetched 2026-09-20
Employee count
11-50 employees
From outside company data
High
BigPicture company data for IQLECT Software Solutions Pvt Ltd (bangdb.com), fetched 2026-09-20
Founded
2015
From outside company data
High
BigPicture company data for IQLECT Software Solutions Pvt Ltd (bangdb.com), fetched 2026-09-20
Revenue
$1M-$10M estimated annual revenue
Estimate; not from filings
High
BigPicture company data for IQLECT Software Solutions Pvt Ltd (bangdb.com), fetched 2026-09-20
About
AI + Vector + Graph + Time-series. A converged database for Modern Apps
Publisher description
High

Build Provenance

What the agent is built on.

1.4 / 10
Data element
Answer
Provenance
Source
Foundation model
Not disclosed on this listing
Low
No source on record
Training data (model)
Not disclosed on this listing
No source discloses model training data
Low
No source on record
Agent framework / tools
Not disclosed on this listing
Low
No source on record
Hosting model
SaaS & APIs, hosted by the vendor
From the listing
High
Version history
Not disclosed on this listing
Registry saw 2 distinct listing states across 4 captures
Low
No source on record

Reach Provenance

How the agent is distributed and adopted.

4.4 / 10
Data element
Answer
Provenance
Source
Distribution channel(s)
Google Cloud Marketplace
Via SaaS & APIs
High
Review volume & rating
Not available
This marketplace has no rating mechanism
Low
No source on record
Comments (pros)
Not available
No review text on record, so no pros could be drawn from user comments
—
No source on record
Comments (cons)
Not available
No review text on record, so no cons could be drawn from user comments
—
No source on record
Listing tenure
Not disclosed
No first published date on the listing
—
No source on record
Multi-channel presence
Single-channel
Listed on Google Cloud Marketplace only in the registry
High
Public community signal
Not disclosed
No public GitHub, Discord or community metrics found
Low
No source on record
# installs
Not reported
No install count on any marketplace
—
No source on record
Listing type
SaaS & APIs
From the listing
High

Data Provenance

What the vendor discloses about data handling.

1.4 / 10
Data element
Answer
Provenance
Source
Operational data sources
Not disclosed
Low
No source on record
Data residency
Not disclosed
Low
No source on record
Retention & deletion
Not disclosed
Low
No source on record
Published documentation
Documentation and support links on the listing
Links on the listing; documents not fetched by the registry
High
Data access requirements
Not explicitly disclosed
No OAuth scope or permission list found on the listing
Low
No source on record

Compliance Provenance

What standards the vendor meets, and who verified them.

0.0 / 10
Data element
Answer
Provenance
Source
Security
SOC 2
None on record
Low
No source on record
ISO/IEC 27001
None on record
Low
No source on record
ISO/IEC 27002
None on record
—
No source on record
ISO/IEC 27017
None on record
—
No source on record
SOC 3
None on record
—
No source on record
CSA STAR
None on record
—
No source on record
Privacy
GDPR
None on record
Low
No source on record
COPPA
None on record
—
No source on record
FERPA
None on record
—
No source on record
ISO/IEC 27018
None on record
—
No source on record
Health
HIPAA
None on record
Low
No source on record
HITRUST CSF
None on record
—
No source on record
Financial
SOC 1
None on record
—
No source on record
PCI DSS
None on record
—
No source on record
SOX
None on record
—
No source on record
Government
FedRAMP
None on record
Low
No source on record
CMMC
None on record
Low
No source on record
NIST SP 800-171
None on record
—
No source on record
AI
NIST AI RMF
None on record
Low
No source on record
Platform
3rd party certification
None on record
Low
No source on record

What the publisher says

Build modern applications using BangDB Ampere and google cloud. BangDB Ampere is an enterprise grade, no-code user/developer data platform on cloud which provides UI based workflows and capabilities to build powerful modern applications at scale

About BangDB

BangDB is a converged multi-model database platform for building modern applications. BangDB has been created from ground up, written from scratch to align with the data trend fully and make it ready for the future needs as well. BangDB natively implements AI, graph processing and stream processing within the database core, which enables users to deal with many different kinds of data in seamless and interconnected manner.

Show the rest of the publisher’s description (13 more lines)
  • Enterprise grade Database

BangDB is a persistent database, written in C/C++ and follows event driven design to fully leverage the compute capacity to remain concurrent for both read and write, thereby achieving very high performance with several tens of thousands of simultaneous connections. It implements IO layer (on top of Linux FS), predictive and adaptive buffer pool and page cache with write ahead logs and transactions to retain high level of throughput for large amount of data with limited RAM attached to the machine. It’s a highly secure, robust database with all enterprise grade features such as backup, disaster recovery, replication (cross), infra and database monitoring etc.

Users can store documents, time-series, graph structured, key-value and large binary data within BangDB using consistent interface. It implements indexing such as primary, secondary, composite, reverse and vector. With over 100 config params, one can tune these to their requirement to run it optimally. It supports SQL and Cypher for querying data. Complete set of REST API for all available feature within the database along with CLI and clients in C, C++, Java, Python and C#. It’s fully secure, robust and implements industry standard features to secure access and sanity of data.

  • Stream Processing

Stream processing in BangDB is designed to be hyper real-time. Run time ETL, Pattern Recognition through ML or CEP (Complex Event Processing), run time statistics, anomaly detections, auto actions as configured, correlate with other streams or tables, updating graphs, etc. are some of the features of the stream processing that could be used for Realtime data or event processing for ops intelligence

  • Graph Processing

Graph processing in BangDB is natively supported. The triple structure is one of the ways to store data in the database along with other structures. BangDB Graph uses novel approach to store the data which increases the graph query performance at scale. BangDB supports property graph and ontology as required. Graph is natively integrated with the stream processing too, so that the graph gets auto updated when event or data arrives in the stream.

  • Native AI

BangDB brings the AI to the data, rather than taking the data to the AI. Which means, it is lot more efficient if we have the AI right where the data lives, i.e. database. From training to testing to store and to deployment (auto or manual), BangDB handles all, allowing users to accomplish all these complex tasks with ease.

  • Bucket Store

To store large binary files, BangDB also implements BRS (a resource service) which allows user to store large files in bucket (S3 like interface) which is linked with train, pred services within the BangDB which makes it easier to automate and simply ML related ops.

  • Vector Index, RAG workflow

BangDB implements vector indexing as native component of the database. It implements HNSW algorithm over the native graph for large scale and high performance. The inference APIs along with filter based search along with the workflow automation makes it suitable for building agents and auto bots.

Plans and pricing

paid

BangDB Community—
BangDB BaseUSD 25 / count
BangDB ProUSD 20 / gibibyte

Linked repositories

Unknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed.

Publisher resources

Sources

Reading the score

Disclosure · how many sources corroborate it

NoneNo source has it. Shown red, because Unknown means Unknown.
1 sourceA single place has it. A listing and its certification page and policy docs on one marketplace count as one source.
2+ contestedTwo or more sources cover it but they do not agree. The disagreement is shown, never dropped.
2+ agreeingTwo or more genuinely separate sources agree: another marketplace, or an outside record.
Steps below are possible but not automated yet, so today they sit open.
SettleTop confirmedSettleTop confirms it directly.

Evidence · what kind of evidence backs it

NoneNo source discloses it.
PublicPublicly available info, such as reviews, listing age, or vendor firmographics like legal entity and headquarters.
Vendor statedThe vendor's own claim on its marketplace listing, website, or policy documents.
Self-attestedThe vendor's self-attested certification or operator program, a marketplace program rather than an independent audit.
Steps below are possible but not automated yet, so today they sit open.
Vendor providedThe vendor hands SettleTop the underlying material, such as an SBOM or a data policy.
Vendor attestedThe vendor signs an attestation to SettleTop.
SettleTop verifiedSettleTop verifies it directly.

The SettleTop steps above are possible but not automated yet, so today they sit open and a perfect 10 is out of reach. Open information like firmographics and reach has fewer steps to climb, so it sits a little higher for the same visible evidence.

Information shown here reflects the best available information at the time of assessment and may be incomplete, outdated, or subject to change. It should be independently verified before being relied upon for any decision. SettleTop is not liable for any errors, omissions, or decisions made in reliance on this information.

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