ElephantSqlDB, Inc is an elite NVIDIA® Inception partner that created ElephantSqlDB® as the first quantum cloud database which employs a proprietary implementation of the Grover's Algorithm to achieve quantum computing performance!
The Grover's Algorithm is one of the many quantum computing algorithms designed to speed up classical (non-quantum computing) functions.
The majority of database architectures use traditional Index Organized Tables (IOT) which require maintaining separate index structures that duplicate data and create synchronization overhead. ElephantSqlDB® applies Grover's Algorithm to a Heap Organized Table (HOT) architecture, enabling efficient unstructured data searches without indexes. This architecture supports full relational integrity—foreign keys, primary keys, and joins—while eliminating index storage costs and the performance penalties of keeping indexes synchronized with base tables. The result is an asymptotic database with near constant-time quantum performance at a fixed price, where you never pay for performance; You only pay for your data storage!
The key elements of ElephantSqlDB®:
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Adopts Grover's Algorithm to combine both classical computing with quantum computing in-order to significantly speed up database persistence and de-persistence functions while consuming less energy.
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Implements complex immutable security over a series of distributed black box functions called ElephantSqlDB Machine Actors™ to protect against data breaches and ransomware attacks.
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Reduces infrastructure and managed service costs associated with some of the following popular databases features:
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Enterprise-Grade AI Vector Database search
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Enterprise-Grade Document Database Search
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Enterprise-Grade Relational Database Search
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Enterprise-Grade Key/Value Pair Database Search
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Enterprise-Grade Time Series Database Search
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Enterprise-Grade Highspeed Message Stream Search
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Support for 13 SQL dialects to the following popular databases:
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PostgreSQL dialect
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MS SQL dialect
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MongoDB dialect
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MySQL dialect
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DynamoDB dialect
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Generic SQL dialect
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ANSI SQL dialect
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Oracle/PL-SQL
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BigQuery SQL dialect
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ClickHouse SQL dialect
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DuckDb SQL dialect
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Hive SQL dialect
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Redshift SQL dialect
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SQLite dialect
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Automatically adds a layer of semantic search using vector embeddings from:
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OpenAI
Quantum Cloud Database Technology
The Grover's Algorithm - Redefined
01
Improved Database Performance
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Lower query latency at near O(1) Constant time.
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Greater queries per second.
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Deeper hierarchical query complexity.
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Faster filtered query searches.
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Greater MIME type support for data storage.
02
Improved AI Performance
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Faster embedded vector database lookups.
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Faster fuzzy logic pattern matching.
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Faster data deduplication.
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Extended LLM feature support.
03
Improved Security Performance
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Stronger cryptographic hash key protection.
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Stronger ransomware protection.
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Stronger malware protection.
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Stronger data immutability.
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Daily data backups for 30-days.
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Support for point in time (PIT) data restore.
04
Reduced Cost
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Lower infrastructure costs.
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Lower infrastructure power consumption.
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NO hidden data storage costs.
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NO hidden data retrieval costs.
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NO hidden additional costs.
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Predictable billing and greater savings!
05
Powerful AI Data Migration Tools
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Generate complex SQL queries from text with AI!
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Migrate your schema into ElephantSqlDB.
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Migrate your data into ElephantSqlDB.
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Graphically visualize your schema.
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Powerful API client.
The ElephantSqlDB® Value - Fixed Fee Pricing Model
"never pay for performance!"
ElephantSqlDB® is the only cloud database with fixed fee pricing with no hidden costs, compared to all other cloud databases:
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Oracle
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Microsoft SQL (Azure SQL)
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PostgreSQL
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SnowFlake
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MongoDB
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Databricks
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AWS DynamoDB
* Note: Data provided directly from competitor pricing website(s).
Evaluating ElephantSqlDB® - Why Testing with Small Datasets Work?
1. Algorithmic Efficiency is Dataset Independent.
ElephantSqlDB® uses a proprietary Grover's Algorithm optimization, therefore the efficiency advantage appears regardless of dataset size:
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Simple SELECT on 1,000 rows: Fast
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JOIN on 1,000 rows: Also fast (same speed)
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Simple SELECT on 1M rows: Slower
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JOIN on 1M rows: Also slower (but same relative speed)
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-- Sample Complex JOIN with CTE
WITH active_orders AS (
SELECT customer_id, COUNT(*) as order_count FROM orders WHERE status = 'active'
GROUP BY customer_id )
SELECT c.*, ao.order_count
FROM customers c
JOIN active_orders ao ON c.id = ao.customer_id WHERE c.region = 'US';
2. Performance Consistency Can Be Proven with Smaller Data.
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ElephantSqlDB® (1,000 rows):
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Simple SELECT: 1ms
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Complex JOIN: 1ms
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Ratio: 1:1 Performance is Consistent!
This proves that ElephantSqlDB® algorithm maintains performance consistency.
Large dataset would just scale both proportionally.
3. Traditional Databases Show the Pattern Early.
On traditional databases, the performance gap appears even with small datasets:
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PostgreSQL , MongoDB (1,000 rows):
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Simple SELECT: 3ms
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Complex JOIN: 25ms
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Ratio: 1:8.3 Performance is NOT consistent!
The performance inefficiency is visible immediately.
The ElephantSqlDB®
AI-Query Console
ElephantSqlDB, Inc supports natural language AI-generated text-to-SQL that alleviates complex queries for 13 popular SQL dialects you can use to query your data with ease! No more need for expensive data architects or advanced SQL skills. Use ElephantSqlDB® to explain the outcome you are looking for and let ElephantSqlDB® handle the heavy SQL lifting for you!
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PostgreSQL dialect
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MS SQL dialect
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MongoDB dialect
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MySQL dialect
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DynamoDB dialect
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Generic SQL dialect
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ANSI SQL dialect
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Oracle/PL-SQL
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BigQuery SQL dialect
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ClickHouse SQL dialect
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DuckDb SQL dialect
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Hive SQL dialect
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Redshift SQL dialect
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SQLite dialect
The ElephantSqlDB®
WYSIWYG Visual Schema Designer
ElephantSqlDB, Inc supports visually designing your database and database schema using our advanced schema designer.
Our "What You See Is What You Get" (WYSIWYG) query console and editor can be used to graphically create databases, tables and complex parent/child table relationships with support for foreign keys from an Index Ordered Table (IOT) architecture into a Heap Ordered Table (HOT) architecture.
The ElephantSqlDB®
Schema and Data Migration
ElephantSqlDB, Inc makes migrating to quantum computing extremely easy with full support for data migration from multiple data sources into ElephantSqlDB®.
Using a multi-step process, ElephantSqlDB™ alleviates the usual frustration and technical debt encountered when moving complex schemas and/or large amounts of data from any of the supported databases and database dialects into the Quantum Cloud Database™ in minutes!
The ElephantSqlDB®
Restore from
Point in Time Backup
ElephantSqlDB, Inc provides full support for Point in Time (PIT) restoration from backups.
ElephantSqlDB® automatically conducts daily backups. If you are a Database Administrator (DBA), restoration from any backup within the past 30 days has never been easier.
The ElephantSqlDB®
Custom Database Plugin Support
ElephantSqlDB, Inc provides the ability to expand our basic capabilities through custom plugins.
ElephantSqlDB® has an equivalent of an App Store we call plugins. Our custom plugins can be created as a professional service to you or your organization.
Plugins are an innovative way to add features that extend the basic capabilities of ElephantSqlDB®.
The ElephantSqlDB®
Built-in Identity Management
ElephantSqlDB, Inc understands the priority around securing you data. Data security starts with proper controls and audits around the users granted access to your data.
ElephantSqlDB® provides a hacker-proof identity management system built-in to our managed quantum cloud database platform which allows you or your DBA to define and assign roles.
The ElephantSqlDB®
User Profile Management
ElephantSqlDB, Inc understands the need for a good internal customer experience.
ElephantSqlDB® provides users with a self-serve access point to managing their own key user profile details like: email, contact and MFA settings.
Try ElephantSqlDB® Today!
ElephantSqlDB, Inc provides fixed and predictable pricing that works for any size company and budget!
