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1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteIBM agreed to acquire Cloudant on February 24, 2014, and completed the purchase on March 4. The deal added a managed, cloud-hosted NoSQL database for JSON-based web and mobile applications to IBM’s portfolio. IBM did not disclose the financial terms. Cloudant is now marketed as IBM Cloudant, a managed database service built on Apache CouchDB technology.
What IBM acquired
Cloudant was a Boston-based, privately held database-as-a-service provider. Rather than selling only database software for customers to install and operate, it offered a hosted database accessed by applications through an API. IBM described the service as a way to simplify development and scaling for mobile, web, and big-data applications. IBM’s acquisition announcement set out the agreement; IBM’s completion announcement confirmed the transaction on March 4. Neither disclosed a purchase price.
Why Cloudant mattered to IBM
IBM said Cloudant would strengthen its Big Data and Analytics, cloud-computing, and mobile businesses. The strategic fit was a developer-facing service for applications that needed a flexible data store without requiring teams to run database servers themselves. That complemented IBM’s broader cloud push, including its SoftLayer infrastructure at the time; it does not, by itself, establish that the deal transformed IBM’s cloud business.
After the acquisition, Cloudant joined IBM’s Information and Analytics Group within the Software & Systems Group, according to IBM’s completion announcement. Its significance was narrower and more concrete than a wholesale replacement for IBM’s existing database portfolio: it added a managed NoSQL option suited to cloud application workloads.
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How Cloudant’s database model worked
JSON documents instead of rows and tables
Cloudant stores application data as JSON documents. That can suit software whose records have varying fields or whose structure changes as a product evolves. Developers can work with document-shaped data through HTTP and APIs rather than designing every application interaction around a fixed relational schema. IBM’s technical overview describes Cloudant’s historical offering, while its current documentation describes the service’s JSON document model and capabilities such as views, full-text search, geospatial indexing, and declarative queries.
Managed operations and scaling
With a managed database service, the customer’s application sends requests to the database; the provider operates much of the underlying infrastructure. IBM says Cloudant customers use an HTTPS API while IBM manages servers, networking, load balancing, upgrades, tuning, hardware maintenance, and security patching. This can reduce operational work, but it also means relying on IBM’s service model and capacity choices rather than controlling every database component directly.
Replication and mobile use
Replication and synchronization can help applications keep data available across locations or support mobile clients that are not continuously connected. Those capabilities do not remove the need to plan for conflicts: when replicated clients change the same data, application design must account for how competing edits are detected and resolved.
What the acquisition meant for developers and customers
Cloudant’s pitch addressed teams that wanted to build applications without first provisioning and maintaining database infrastructure. Flexible JSON documents could accommodate evolving application data, while a managed API could absorb some of the work of scaling and availability. The trade-off is that schema flexibility does not replace application-level validation, and a document database is not automatically the right home for every data workload.
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IBM cited mobile-game developer Hothead Games as a customer using Cloudant on IBM SoftLayer. In its completion announcement, IBM said the game developer needed to handle traffic spikes reportedly reaching 100 times normal levels. That is IBM’s account of a customer example, not independent performance testing or a guarantee for other workloads.
What “open cloud database” did—and did not—mean
Cloudant was associated with the Apache CouchDB open-source community, and IBM’s current product information says IBM Cloudant is built on Apache CouchDB technology with compatible APIs and replication protocols. IBM’s product page describes the current product; the Apache CouchDB project is a separate open-source option.
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These distinctions matter. Open-source foundations do not make IBM’s hosted service identical to self-hosted CouchDB, nor do they guarantee that pricing, support, operations, every feature, or migration behavior is portable without work. Teams considering a move should test the specific APIs, replication behavior, authentication, indexes, and conflict handling their application depends on.
What IBM Cloudant is today
Cloudant continues as IBM Cloudant, a fully managed database-as-a-service on IBM Cloud. IBM describes it as a JSON document database built on CouchDB technology, intended for web, mobile, and other application workloads. The current service is not the same thing as the 2014 acquisition itself: the acquisition is complete history, while IBM Cloudant is the product that remains.
Best Value
IBM’s current pricing documentation describes charges based on provisioned read, write, and query throughput plus storage, with capacity adjustable and billed on a pro-rated hourly basis. Exact costs depend on the active plan, region, capacity, and usage; historical plan information should not be treated as a current offer. Consult IBM’s pricing FAQ and legacy-plan documentation for the distinction between current guidance and retired-plan material. IBM’s product page advertises a 99.99% reliability figure; readers should check the applicable service description, plan, and region rather than treating that marketing figure as a universal guarantee.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.When Cloudant may—or may not—fit
Potentially suitable workloads
- Applications whose records naturally fit JSON documents and whose data structures change over time.
- Web or mobile back ends that benefit from an HTTP API, managed operations, or replication.
- Teams already using IBM Cloud or seeking a managed service compatible with CouchDB-oriented workflows.
Workloads that need a different approach
- Applications dominated by relational joins, strict relational constraints, or SQL-centric tooling may be better served by a relational database.
- Complex ad hoc analytics, specialized graph or time-series needs, and applications requiring deep control over database internals may call for another system or an additional data architecture.
- Teams standardized on AWS, Azure, or Google Cloud should weigh the operational and integration costs of choosing an IBM-hosted service.
- Provisioned throughput requires capacity planning: too little can throttle requests or reject writes, while too much can raise costs. Replication can improve resilience but adds storage, complexity, and consistency decisions.
IBM also offers managed database services for other data models. For relational schemas and SQL, compare Cloudant with IBM’s database offerings, including PostgreSQL; for a different document database ecosystem, IBM lists MongoDB among its database options on that same page. The right choice depends on query patterns, consistency needs, cloud commitments, migration constraints, and cost—not on a universal ranking.
How Cloudant compares with common alternatives
| Option | How it differs |
|---|---|
| Apache CouchDB | Open-source software that can be self-hosted, giving teams more infrastructure control but leaving operations to them. |
| Amazon DynamoDB | A managed AWS-native key-value and document database; its access patterns and integration model differ from CouchDB-style replication. |
| MongoDB Atlas | A managed service built around MongoDB’s query language, tooling, and ecosystem. |
| Azure Cosmos DB | An Azure-managed distributed database with multiple APIs and deployment options; consistency and pricing choices differ. |
| Google Cloud Firestore | A managed document database aimed strongly at application and mobile development, with different synchronization, query, and pricing semantics. |
| IBM Cloud Databases for PostgreSQL | A relational option better suited to SQL, joins, and relational schemas. |
These products are not interchangeable simply because they are managed databases. Compare the data model, query behavior, consistency requirements, cloud environment, service limits, and expected usage before selecting one.
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