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Firestore vs Sparksee

Firestore

cloud.google.com

Sparksee

sparsity-technologies.com

Side by side

FigureFirestoreSparksee
Price fromFreeFree
Free planYesYes
Free trialYesYes
Open source——
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
iOSYesYes
AndroidYesYes
APIYesYes
Self-hosted—Yes
Plans published94
Spec score · Mobile Databases9.2 (#1)8.3 (#4)
Documentation depthThe documentation set includes developer guides, API references, source repositories, issue trackers, Stack Overflow links, samples, and library integrations.Sparsity publishes a starting guide, complete user manual, high-availability material and language-specific reference guides in PDF and browsable HTML.
EncryptionFirestore encrypts data at rest automatically and uses TLS for data in transit.Disk-level encryption is provided to protect data if a device is lost, stolen or sold.
ProductFirestore is a fully managed, serverless document database for building AI, web, and mobile applications.Sparksee is an embeddable graph database management system for representing and analysing complex relationships between entities.
Rating on G24.2 out of 5 from 97 reviews.0.0 out of 5 from 1 review
SecurityFirestore integrates with Cloud IAM, Cloud Identity Platform, and Firebase Authentication for identity-based access controls and data validation.The product page says Sparksee offers disk-level encryption to protect data if a device is stolen, lost, or sold.
What it doesFirestore is a fully managed, scalable JSON document database for mobile, web, and server applications.Sparksee is an embeddable graph database management system for representing and analysing relationships between entities.

Plans

Firestore

  • Standard edition — document readsPrice not published
  • Standard edition — document writesPrice not published
  • Standard edition — document deletesPrice not published
  • Standard edition — stored dataPrice not published
  • Free quotaFree
  • Free quotaFree
  • Standard edition pay-as-you-go$0.03 a month
  • Enterprise editionPrice not published
  • Standard editionPrice not published

Firestore pricing →

Sparksee

  • Academic licenceFree
  • Free trialPrice not published
  • IndustryPriced on request
  • StartupPriced on request

Sparksee pricing →

In their own words

Firestore

Firestore is a fully managed, serverless document database for building AI, web, and mobile applications. It stores flexible JSON data and supports vector search, full-text search, geospatial queries, and ACID transactions on JSON or BSON-compatible documents. Client SDKs for Android, iOS, and web provide real-time updates and automatic syncing for offline access. Firestore can replicate data across multiple regions with strong consistency; multi-region deployments have a stated 99.999% SLA-backed availability. Integrations named for generative AI application work include Google AI Studio, remote MCP, LangChain, and LlamaIndex. Identity controls connect with Cloud IAM, Cloud Identity Platform, and Firebase Authentication. Data is encrypted before it is written to disk, with customer-managed keys available through Cloud KMS. The free quota applies to one database per project and includes 1 GiB of storage, daily read, write, and delete allowances, and 10 GiB monthly outbound transfer. New customers receive $300 in credits, separate from that quota. Server client libraries bypass Firestore Security Rules, so server access needs IAM controls.

Visit cloud.google.com

Sparksee

Sparksee is an embeddable graph database for applications that need to represent and analyse relationships among entities. It works against a database file from within an application process, so there is no cluster or query server to provision. The maker describes its compact bitmap-based representation as suited to graph computations in mobile and embedded environments. Built-in algorithms cover traversal, shortest paths, connectivity, community detection, and PageRank. Its API supports importing and exporting graph data, scripting, and Sparksee Cypher queries; Sparksee Algebra is also listed. API references cover.NET, Java, C++, Objective-C, Python, and openCypher. Sparksee supports ACID transactions, disk-level encryption, and recovery after database corruption. Keeping data on a user's device can support privacy-preserving apps and reduce reliance on cloud connectivity. Platforms include Android, iOS, Linux, macOS, and Windows, with API and self-hosted options. Eligible academic users can apply for a free licence; commercial licence pricing is on request.

Visit sparsity-technologies.com