Google Database Services vs MarkLogic for Cloud Database Management Systems (DBMS) in 2025

Google Database Services

Google Database Services includes services such as Cloud BigTable, Cloud SQL, Firebase, and Memory Store. These services use a serverless approach, providing flexibility in resource usage. Google's support for data ecosystems has grown with the introduction of the open and unified data cloud concept.

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MarkLogic

MarkLogic Data Hub Platform is a NoSQL-based database designed for transactional use cases. It is known for its capabilities in data management, as it allows for managing data at different tiers of storage and computation environments.

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Feature Comparison

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Feature	Dimensions	Description	Google	MarkLogic
Good Pricing for Bounded Consumption	Pricing	The pricing structure is suitable for use cases where it's equally important to have some scalability to meet changes in resource demand and some pricing predictability.	OK	OK
Good Pricing for Burst Usage Pattern	Pricing	The pricing structure is suitable for addressing various bursts in demand.	OK	Poor
Good Pricing for Lots of CPU Consumption	Pricing	The pricing structure is suitable for use cases with lots of CPU consumption.	OK	OK
Good Pricing for Lots of Data	Pricing	The pricing structure is suitable for use cases with lots of data.	OK	OK
Good Pricing for Lots of Data Indexing	Pricing	The pricing structure is suitable for use cases with lots of data indexing	OK	NA
Good Pricing for Lots of Data Transfer	Pricing	The pricing structure is suitable for use cases with lots of data transfer.	OK	OK
Good Pricing for Lots of Memory Consumption	Pricing	The pricing structure is suitable for use cases with lots of memory consumption.	OK	Poor
Transport Layer Security	Administration Security Pricing Use Case Fit	Enables transport layer security between database servers and client applications.	Good	OK
User Authentication	Scalability Security Pricing Use Case Fit Administration Compliance Performance	Verify the identity of users attempting to access database instances.	Good	OK
Alerting	Administration	Give timely wanings so that the problems can get resolved quickly.	Good	OK
Automated Management Utilities	Administration	Help administrators by automating DBA operations.	Good	OK
Capacity Planning	Administration	Capabilities for planning, monitoring and managing system capacity, including storage and system resource utilization.	OK	Poor
Change Management	Administration	Enable change management across multiple instances of the same database.	Good	OK
Containers and Orchestration	Administration	Supports external container and orchestration environments like Kubernetes, Docker, etc.	Good	Poor
Database Portability	Administration	Allows moving of the DBMS instance to another instance.	OK	OK
Monitoring	Administration	Monitor and alert on potential issues, including performance issues.	Good	OK
Operational Reporting	Administration	Provides reports on day-to-day activities on the DBMS.	Good	OK
Workload Management	Administration	Monitor and manage workloads including concurrency, long-running queries, prioritization of competing workloads, etc.	Good	OK
Alteryx	Integration	Support available to integrate with Alteryx for metadata management.	OK	OK
Apache Spark	Integration	Capability available to integrate with Apache Spark for analytics.	Good	Good
Azure Data Factory	Integration	Support available to integrate with Azure Data Factory for data integration.	Good	OK
Boomi	Integration	Support available to integrate with Boomi for data integration.	Good	OK
Collibra	Integration	Support available to integrate with Collibra for metadata management.	Good	Good
Denodo	Integration	Support available to integrate with Denodo for metadata management.	Good	OK
Domo	Integration	Support available to integrate with Domo for BI and visualization.	Good	Good
Informatica	Integration	Support available to integrate with Informatica for data integration.	Good	OK
Knime	Integration	Support available to integrate with Knime for analytics.	Good	Good
Metabase	Integration	Support available to integrate with Metabase for BI and visualization.	Good	Poor
OneTrust	Integration	Support available to integrate with OneTrust for metadata management.	OK	OK
Pentaho	Integration	Support available to integrate with Pentaho for BI and visualization.	Good	Good
Power BI	Integration	Support available to integrate with Power BI for analytics.	OK	Good
Qlik	Integration	Support available to integrate with Qlik for metadata management.	Good	OK
SAS BI	Integration	Support available to integrate with SAS BI for BI and visualization.	Good	OK
SnapLogic	Integration	Support available to integrate with SnapLogic for data integration.	Good	OK
Splunk	Integration	Capability available to integrate with Splunk for analytics.	Good	Good
Tableau	Integration	Support available to integrate with Tableau for analytics.	Good	Good
Talend	Integration	Support available to integrate with Talend for data integration.	Good	OK
Zoho BI and Analytics	Integration	Support available to integrate with Zoho for BI and visualization.	Good	OK
CCPA	Compliance	Regulation on data protection and privacy of the data tied to residents of California.	Great	Great
Data Masking	Security Compliance	Selectively obscure column data from users while still allowing access to the column.	Good	OK
FFIEC	Compliance	Complies with the encryption requirements for all online transaction processing (OLTP) done by financial institutions.	Great	NA
FISMA	Compliance	Compliance with U.S. government legislation that defines a comprehensive framework that protects government information, operations, and assets against threats.	Great	Great
FedRAMP	Compliance	Ensures that the government security requirements outlined in NIST 800-53 are met and supplemented by the PMO of FedRAMP.	Great	Great
GDPR	Compliance	Regulation on data protection and privacy of the data tied to citizens and residents of EU countries.	Great	Great
HIPAA	Compliance	Demonstrates security and compliance with standards of the healthcare industry.	Great	Great
HITRUST	Compliance	Demonstrates compliance with HITRUST CSF, an industry-agnostic certifiable framework for regulatory compliance and risk management. This framework, developed by the not-for-profit organization HITRUST, contains a set of prescriptive controls that relate to the organizational processes and technical controls for processing, storing, and transmitting sensitive data.	Great	Great
IRAP	Compliance	Australian government standard for assessing the implementation and effectiveness of an organization’s security controls against the Australian government’s security requirements.	Great	NA
MTCS	Compliance	Multi-tier cloud security standard set up by the government of Singapore.	Great	NA
PCI	Compliance	Standard that ensures security guidelines are met for all entities that store, process, or transmit cardholder data and/or sensitive authentication data.	Great	Great
PSD2	Compliance	Demonstrates compliance with European regulations related to the Payment Services Directive.	Great	NA
RBAC	Security Compliance	Authorize and restrict access to specific database functions based on the user's role within the organization.	Good	OK
SOC	Compliance	Standard promoted by the American Institute of CPAs that ensures the integrity and privacy of customer data.	Great	Great
SOX	Compliance	Standard for public companies that ensures that annual audits take place and are legally-required to show evidence of accurate and secure financial reporting.	Great	NA
Streaming Data Support	Security Use Case Fit Compliance	Supports storing, processing or integrating with streaming data.	OK	Poor
Automated Query Governance	Performance	Analyzes the query and prevents it from executing unless it meets standards.	OK	Poor
Automated Tuning	Performance	Automatically tune functions without the help of administrators.	Good	Poor
Clustering	Performance	Increases processing power by connecting multiple database instances.	OK	Poor
Cost-Based Query Optimizer	Performance	Optimize the query based on query plan cost that determines which query plan to run with.	Good	Poor
In-Memory Capability	Performance	Allows for the usage of a shared cache for faster user access to the data.	Good	Poor
Indexing Technology	Performance	Retrieve data from the database without having to read all of the data in storage.	OK	Poor
Manual Tuning	Performance	Allows database administrators to directly make changes to parameters.	Good	Poor
Multiple Application Clustered Node	Performance	Supports running multiple applications across the cluster.	OK	OK
Node Volume Limitation	Performance	Set a maximum volume for data storage.	Good	Poor
Parallel Query Execution	Performance	Increases the execution speed of SQL queries by creating multiple query processes that divide the workload of a SQL statement and execute it in parallel.	Good	Poor
Parallel Utility Execution	Performance	Supports running utilities such as backup and recovery, free space reclamation, and index rebuild in parallel.	Good	Poor
Rule-Based Query Optimizer	Performance	Optimize the query based on a rule set that determines query execution.	OK	Poor
Storage Control	Performance	Control where data is stored based on specific locations.	OK	Poor
Auto-Scaling	Scalability	Analyzes utilization metrics and then adds and removes nodes automatically based on those metrics.	Good	OK
Automated Data Backup and Recovery	Scalability	Supports automatically backing up data in case of loss and setting up secure systems for data recovery.	Good	OK
Automated Failover	Scalability	Supports automated failover to a disaster recovery site.	Good	OK
Data Partitioning	Scalability	Supports dividing data sets and distributing data over multiple servers.	Good	Poor
Database Replication	Scalability	Creates a copy of the data available in the database in a disaster recovery environment.	Good	OK
Disaster Recovery	Scalability	Supports disaster recovery and provides processing continuity when a region fails or becomes unavailable.	Good	OK
Fast Export	Scalability	Quickly export data from the database.	OK	OK
Fast Loader	Scalability	Enables fast loading of bulk data (high volumes).	OK	Poor
Fault Tolerance	Scalability	Run operations without interruption when one or more components fail.	OK	OK
High Availability	Scalability	Has a high availability environment for running critical production workloads.	Good	OK
Network Load Balancing	Scalability	Distribute the load between application and database servers.	Good	OK
Online Patching and Upgrades	Scalability	Allows for the patching and upgrade of the DBMS without loss of production in a zero-downtime or near-zero-downtime environment.	OK	OK
Redundancy	Scalability	Supports data redundancy or geographic redundancy.	Good	OK
Regional Scalability	Scalability	Scalable across multiple regions.	Good	OK
VLDB Support	Scalability	Supports very large databases for online transaction processing (OLTP) applications.	Good	Poor
Activity Monitoring	Security	Monitor user activity and alerts when unusual behavior is detected.	Good	OK
Column-Level Security	Security	Filter data and enable access to specific columns in a database table.	Good	Poor
Data Encryption	Security	Secure data with encryption in transit or when stored in the cloud.	Good	OK
Group-Level Security	Security	Group users by requirements and enforce security mechanisms for them.	OK	OK
Identity Management	Security	Natively provides identity management or integrates with identity management tools for authentication and access control.	OK	OK
Key Management	Security	Natively provides key management or integrates with key management tools for creating, managing and controlling cryptographic keys.	Good	OK
Row-Level Security	Security	Filter data and enable access to specific rows in a database table.	OK	Poor
SQL Proxy	Security	Provide secure access to your database instance without configuring SSL or using authorized networks.	Good	Poor
AI and ML Library	Use Case Fit	AI and ML libraries to help with data exploration and preparation.	Good	Poor
API Access	Use Case Fit	Access data via APIs with JDBC and ODBC connectors.	Good	OK
Automated Data Mart	Use Case Fit	Supports managing an ad hoc data mart or data warehouse setup, control and deletion in support of an internal, private cloud computing model.	OK	OK
Bulk Data Loading	Use Case Fit	Supports fast loading of huge volumes of data.	Good	OK
Cloud Object Store Support	Use Case Fit	Supports cloud object stores like Amazon S3, Azure Blob Storage, or Blackblaze B2.	Good	Poor
Data Management	Use Case Fit	Provides a REST API for accessing and updating data in the database.	OK	OK
Data Mining	Use Case Fit	Extend SQL or stored procedures for data mining purposes.	Good	Poor
Data Virtualization	Use Case Fit	Support available in the DBMS for data virtualization tools so that it can act as a hub for data collection.	Good	OK
Document Store	Use Case Fit	Store documents and query data like JSON, XML etc.	OK	OK
Graph Database	Use Case Fit	Store multi-relationship data coming from graph databases.	Good	Poor
Graph Language Support	Use Case Fit	Offers graph language support to query your data.	Good	Poor
Hybrid Cloud	Use Case Fit	Deployments can span cloud and on-premises environments.	OK	OK
Industry Specific Data Models	Use Case Fit	Supports industry specfic data models for industries like finance, healthcare, retail, etc.	OK	Poor
Integrated Search	Use Case Fit	Has integrated search capabilities with Elasticsearch, Splunk, etc.	OK	Poor
Key Value Support	Use Case Fit	Store data in a non-relational style using the key-value method.	OK	Poor
Logical Data Warehousing	Use Case Fit	Support available in the DBMS to treat it as a warehouse for analytics, scale and ease of use.	OK	Poor
ML Model Creation	Use Case Fit	Suppors creating and executing machine learning models.	Good	OK
MultiDimensional Tables	Use Case Fit	Supports multidimensional tables if the database supports OLAP.	OK	Poor
MultiDimensional Views	Use Case Fit	Supports multidimensional views if the database supports OLAP.	Good	Poor
OLAP Database Support	Use Case Fit	Handle analytical queries as well as generate multidimensional data models.	OK	Poor
Query Virtualization	Use Case Fit	Query data managed in another DBMS or file system.	OK	Poor
Real-Time Data Loading	Use Case Fit	Supports continuous or real-time data upload without degrading performance.	OK	OK
Self-Hosted Cloud	Use Case Fit	Self-hosted option for provisioning cloud infrastructure, including servers, storage, and connectivity.	Good	OK
Serverless Architecture	Use Case Fit	Support available in the database for a serverless architecture to help manage the workload.	Good	OK
Time Series Support	Use Case Fit	Store data collected over time intervals.	OK	OK
User Defined Function	Use Case Fit	Create user-defined functions using SQL or JS code.	Good	Poor
dbPaaS	Use Case Fit	The vendor is responsible for all aspects of administration.	OK	OK

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